dk-crazydiv/huggingface-modelhub · Datasets at Hugging Face

modelId stringlengths 4 112	lastModified stringlengths 24 24	tags sequence	pipeline_tag stringclasses 21 values	files sequence	publishedBy stringlengths 2 37	downloads_last_month int32 0 9.44M	library stringclasses 15 values	modelCard large_stringlengths 0 100k
Helsinki-NLP/opus-mt-es-fi	2021-01-18T08:24:04.000Z	[ "pytorch", "marian", "seq2seq", "es", "fi", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	64	transformers	--- tags: - translation --- ### opus-mt-es-fi * source languages: es * target languages: fi * OPUS readme: [es-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.fi \| 44.4 \| 0.672 \|
Helsinki-NLP/opus-mt-es-fj	2021-01-18T08:24:10.000Z	[ "pytorch", "marian", "seq2seq", "es", "fj", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	52	transformers	--- tags: - translation --- ### opus-mt-es-fj * source languages: es * target languages: fj * OPUS readme: [es-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.fj \| 24.8 \| 0.472 \|
Helsinki-NLP/opus-mt-es-fr	2021-01-18T08:24:15.000Z	[ "pytorch", "marian", "seq2seq", "es", "fr", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	200	transformers	--- tags: - translation --- ### opus-mt-es-fr * source languages: es * target languages: fr * OPUS readme: [es-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.es.fr \| 33.6 \| 0.610 \| \| news-test2008.es.fr \| 32.0 \| 0.585 \| \| newstest2009.es.fr \| 32.5 \| 0.590 \| \| newstest2010.es.fr \| 35.0 \| 0.615 \| \| newstest2011.es.fr \| 33.9 \| 0.607 \| \| newstest2012.es.fr \| 32.4 \| 0.602 \| \| newstest2013.es.fr \| 32.1 \| 0.593 \| \| Tatoeba.es.fr \| 58.4 \| 0.731 \|
Helsinki-NLP/opus-mt-es-gaa	2021-01-18T08:24:21.000Z	[ "pytorch", "marian", "seq2seq", "es", "gaa", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	47	transformers	--- tags: - translation --- ### opus-mt-es-gaa * source languages: es * target languages: gaa * OPUS readme: [es-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gaa/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.gaa \| 27.8 \| 0.479 \|
Helsinki-NLP/opus-mt-es-gil	2021-01-18T08:24:26.000Z	[ "pytorch", "marian", "seq2seq", "es", "gil", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	58	transformers	--- tags: - translation --- ### opus-mt-es-gil * source languages: es * target languages: gil * OPUS readme: [es-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.gil \| 23.8 \| 0.470 \|
Helsinki-NLP/opus-mt-es-gl	2021-01-18T08:24:32.000Z	[ "pytorch", "marian", "seq2seq", "es", "gl", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	53	transformers	--- language: - es - gl tags: - translation license: apache-2.0 --- ### spa-glg * source group: Spanish * target group: Galician * OPUS readme: [spa-glg](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md) * model: transformer-align * source language(s): spa * target language(s): glg * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.glg \| 67.6 \| 0.808 \| ### System Info: - hf_name: spa-glg - source_languages: spa - target_languages: glg - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'gl'] - src_constituents: {'spa'} - tgt_constituents: {'glg'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt - src_alpha3: spa - tgt_alpha3: glg - short_pair: es-gl - chrF2_score: 0.8079999999999999 - bleu: 67.6 - brevity_penalty: 0.993 - ref_len: 16581.0 - src_name: Spanish - tgt_name: Galician - train_date: 2020-06-16 - src_alpha2: es - tgt_alpha2: gl - prefer_old: False - long_pair: spa-glg - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-guw	2021-01-18T08:24:38.000Z	[ "pytorch", "marian", "seq2seq", "es", "guw", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	46	transformers	--- tags: - translation --- ### opus-mt-es-guw * source languages: es * target languages: guw * OPUS readme: [es-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-guw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.guw \| 28.6 \| 0.480 \|
Helsinki-NLP/opus-mt-es-ha	2021-01-18T08:24:44.000Z	[ "pytorch", "marian", "seq2seq", "es", "ha", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	50	transformers	--- tags: - translation --- ### opus-mt-es-ha * source languages: es * target languages: ha * OPUS readme: [es-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ha \| 20.6 \| 0.421 \|
Helsinki-NLP/opus-mt-es-he	2021-01-18T08:24:50.000Z	[ "pytorch", "marian", "seq2seq", "es", "he", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "special_tokens_map.json", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	53	transformers	--- language: - es - he tags: - translation license: apache-2.0 --- ### es-he * source group: Spanish * target group: Hebrew * OPUS readme: [spa-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md) * model: transformer * source language(s): spa * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip) * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt) * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.heb \| 43.6 \| 0.636 \| ### System Info: - hf_name: es-he - source_languages: spa - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'he'] - src_constituents: ('Spanish', {'spa'}) - tgt_constituents: ('Hebrew', {'heb'}) - src_multilingual: False - tgt_multilingual: False - long_pair: spa-heb - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt - src_alpha3: spa - tgt_alpha3: heb - chrF2_score: 0.636 - bleu: 43.6 - brevity_penalty: 0.992 - ref_len: 12112.0 - src_name: Spanish - tgt_name: Hebrew - train_date: 2020-12-10 00:00:00 - src_alpha2: es - tgt_alpha2: he - prefer_old: False - short_pair: es-he - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de - port_machine: LM0-400-22516.local - port_time: 2020-12-11-11:41
Helsinki-NLP/opus-mt-es-hil	2021-01-18T08:24:56.000Z	[ "pytorch", "marian", "seq2seq", "es", "hil", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	36	transformers	--- tags: - translation --- ### opus-mt-es-hil * source languages: es * target languages: hil * OPUS readme: [es-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.hil \| 35.8 \| 0.584 \|
Helsinki-NLP/opus-mt-es-ho	2021-01-18T08:25:05.000Z	[ "pytorch", "marian", "seq2seq", "es", "ho", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	35	transformers	--- tags: - translation --- ### opus-mt-es-ho * source languages: es * target languages: ho * OPUS readme: [es-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ho/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ho \| 22.8 \| 0.463 \|
Helsinki-NLP/opus-mt-es-hr	2021-01-18T08:25:12.000Z	[ "pytorch", "marian", "seq2seq", "es", "hr", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	41	transformers	--- tags: - translation --- ### opus-mt-es-hr * source languages: es * target languages: hr * OPUS readme: [es-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-hr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.hr \| 21.7 \| 0.459 \|
Helsinki-NLP/opus-mt-es-ht	2021-01-18T08:25:17.000Z	[ "pytorch", "marian", "seq2seq", "es", "ht", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	45	transformers	--- tags: - translation --- ### opus-mt-es-ht * source languages: es * target languages: ht * OPUS readme: [es-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ht \| 23.3 \| 0.407 \|
Helsinki-NLP/opus-mt-es-id	2021-01-18T08:25:24.000Z	[ "pytorch", "marian", "seq2seq", "es", "id", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	50	transformers	--- tags: - translation --- ### opus-mt-es-id * source languages: es * target languages: id * OPUS readme: [es-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-id/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.es.id \| 21.1 \| 0.516 \|
Helsinki-NLP/opus-mt-es-ig	2021-01-18T08:25:30.000Z	[ "pytorch", "marian", "seq2seq", "es", "ig", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	55	transformers	--- tags: - translation --- ### opus-mt-es-ig * source languages: es * target languages: ig * OPUS readme: [es-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ig/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ig \| 27.0 \| 0.434 \|
Helsinki-NLP/opus-mt-es-ilo	2021-01-18T08:25:37.000Z	[ "pytorch", "marian", "seq2seq", "es", "ilo", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	48	transformers	--- tags: - translation --- ### opus-mt-es-ilo * source languages: es * target languages: ilo * OPUS readme: [es-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ilo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ilo \| 31.0 \| 0.544 \|
Helsinki-NLP/opus-mt-es-is	2021-01-18T08:25:44.000Z	[ "pytorch", "marian", "seq2seq", "es", "is", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	67	transformers	--- language: - es - is tags: - translation license: apache-2.0 --- ### spa-isl * source group: Spanish * target group: Icelandic * OPUS readme: [spa-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md) * model: transformer-align * source language(s): spa * target language(s): isl * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.isl \| 27.1 \| 0.528 \| ### System Info: - hf_name: spa-isl - source_languages: spa - target_languages: isl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'is'] - src_constituents: {'spa'} - tgt_constituents: {'isl'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: isl - short_pair: es-is - chrF2_score: 0.528 - bleu: 27.1 - brevity_penalty: 1.0 - ref_len: 1220.0 - src_name: Spanish - tgt_name: Icelandic - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: is - prefer_old: False - long_pair: spa-isl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-iso	2021-01-18T08:25:50.000Z	[ "pytorch", "marian", "seq2seq", "es", "iso", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	40	transformers	--- tags: - translation --- ### opus-mt-es-iso * source languages: es * target languages: iso * OPUS readme: [es-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-iso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.iso \| 22.4 \| 0.396 \|
Helsinki-NLP/opus-mt-es-it	2021-01-18T08:25:56.000Z	[ "pytorch", "marian", "seq2seq", "es", "it", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	241	transformers	--- tags: - translation --- ### opus-mt-es-it * source languages: es * target languages: it * OPUS readme: [es-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-it/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.it \| 55.9 \| 0.751 \|
Helsinki-NLP/opus-mt-es-kg	2021-01-18T08:26:01.000Z	[ "pytorch", "marian", "seq2seq", "es", "kg", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	39	transformers	--- tags: - translation --- ### opus-mt-es-kg * source languages: es * target languages: kg * OPUS readme: [es-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-kg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.kg \| 25.6 \| 0.488 \|
Helsinki-NLP/opus-mt-es-ln	2021-01-18T08:26:07.000Z	[ "pytorch", "marian", "seq2seq", "es", "ln", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	45	transformers	--- tags: - translation --- ### opus-mt-es-ln * source languages: es * target languages: ln * OPUS readme: [es-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ln \| 27.1 \| 0.508 \|
Helsinki-NLP/opus-mt-es-loz	2021-01-18T08:26:13.000Z	[ "pytorch", "marian", "seq2seq", "es", "loz", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	32	transformers	--- tags: - translation --- ### opus-mt-es-loz * source languages: es * target languages: loz * OPUS readme: [es-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-loz/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.loz \| 28.6 \| 0.493 \|
Helsinki-NLP/opus-mt-es-lt	2021-01-18T08:26:19.000Z	[ "pytorch", "marian", "seq2seq", "es", "lt", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	33	transformers	--- language: - es - lt tags: - translation license: apache-2.0 --- ### spa-lit * source group: Spanish * target group: Lithuanian * OPUS readme: [spa-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-lit/README.md) * model: transformer-align * source language(s): spa * target language(s): lit * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.lit \| 40.2 \| 0.643 \| ### System Info: - hf_name: spa-lit - source_languages: spa - target_languages: lit - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-lit/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'lt'] - src_constituents: {'spa'} - tgt_constituents: {'lit'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: lit - short_pair: es-lt - chrF2_score: 0.643 - bleu: 40.2 - brevity_penalty: 0.956 - ref_len: 2341.0 - src_name: Spanish - tgt_name: Lithuanian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: lt - prefer_old: False - long_pair: spa-lit - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-lua	2021-01-18T08:26:24.000Z	[ "pytorch", "marian", "seq2seq", "es", "lua", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	27	transformers	--- tags: - translation --- ### opus-mt-es-lua * source languages: es * target languages: lua * OPUS readme: [es-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-lua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.lua \| 23.4 \| 0.473 \|
Helsinki-NLP/opus-mt-es-lus	2021-01-18T08:26:30.000Z	[ "pytorch", "marian", "seq2seq", "es", "lus", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	44	transformers	--- tags: - translation --- ### opus-mt-es-lus * source languages: es * target languages: lus * OPUS readme: [es-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-lus/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.lus \| 20.9 \| 0.414 \|
Helsinki-NLP/opus-mt-es-mfs	2021-01-18T08:26:36.000Z	[ "pytorch", "marian", "seq2seq", "es", "mfs", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	27	transformers	--- tags: - translation --- ### opus-mt-es-mfs * source languages: es * target languages: mfs * OPUS readme: [es-mfs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mfs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.mfs \| 88.6 \| 0.907 \|
Helsinki-NLP/opus-mt-es-mk	2021-01-18T08:26:44.000Z	[ "pytorch", "marian", "seq2seq", "es", "mk", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	82	transformers	--- language: - es - mk tags: - translation license: apache-2.0 --- ### spa-mkd * source group: Spanish * target group: Macedonian * OPUS readme: [spa-mkd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md) * model: transformer-align * source language(s): spa * target language(s): mkd * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.mkd \| 48.2 \| 0.681 \| ### System Info: - hf_name: spa-mkd - source_languages: spa - target_languages: mkd - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'mk'] - src_constituents: {'spa'} - tgt_constituents: {'mkd'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: mkd - short_pair: es-mk - chrF2_score: 0.6809999999999999 - bleu: 48.2 - brevity_penalty: 1.0 - ref_len: 1073.0 - src_name: Spanish - tgt_name: Macedonian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: mk - prefer_old: False - long_pair: spa-mkd - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-mt	2021-01-18T08:26:48.000Z	[ "pytorch", "marian", "seq2seq", "es", "mt", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	27	transformers	--- tags: - translation --- ### opus-mt-es-mt * source languages: es * target languages: mt * OPUS readme: [es-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.mt \| 28.1 \| 0.460 \|
Helsinki-NLP/opus-mt-es-niu	2021-01-18T08:26:53.000Z	[ "pytorch", "marian", "seq2seq", "es", "niu", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	61	transformers	--- tags: - translation --- ### opus-mt-es-niu * source languages: es * target languages: niu * OPUS readme: [es-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-niu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.niu \| 29.9 \| 0.506 \|
Helsinki-NLP/opus-mt-es-nl	2021-01-18T08:26:59.000Z	[ "pytorch", "marian", "seq2seq", "es", "nl", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	59	transformers	--- tags: - translation --- ### opus-mt-es-nl * source languages: es * target languages: nl * OPUS readme: [es-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.nl \| 50.6 \| 0.681 \|
Helsinki-NLP/opus-mt-es-no	2021-01-18T08:27:04.000Z	[ "pytorch", "marian", "seq2seq", "es", "no", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	36	transformers	--- language: - es - no tags: - translation license: apache-2.0 --- ### spa-nor * source group: Spanish * target group: Norwegian * OPUS readme: [spa-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md) * model: transformer-align * source language(s): spa * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.nor \| 36.7 \| 0.565 \| ### System Info: - hf_name: spa-nor - source_languages: spa - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'no'] - src_constituents: {'spa'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: nor - short_pair: es-no - chrF2_score: 0.565 - bleu: 36.7 - brevity_penalty: 0.99 - ref_len: 7217.0 - src_name: Spanish - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: no - prefer_old: False - long_pair: spa-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-nso	2021-01-18T08:27:09.000Z	[ "pytorch", "marian", "seq2seq", "es", "nso", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	39	transformers	--- tags: - translation --- ### opus-mt-es-nso * source languages: es * target languages: nso * OPUS readme: [es-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.nso \| 33.2 \| 0.531 \|
Helsinki-NLP/opus-mt-es-ny	2021-01-18T08:27:14.000Z	[ "pytorch", "marian", "seq2seq", "es", "ny", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	28	transformers	--- tags: - translation --- ### opus-mt-es-ny * source languages: es * target languages: ny * OPUS readme: [es-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ny/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ny \| 22.9 \| 0.494 \|
Helsinki-NLP/opus-mt-es-pag	2021-01-18T08:27:20.000Z	[ "pytorch", "marian", "seq2seq", "es", "pag", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	32	transformers	--- tags: - translation --- ### opus-mt-es-pag * source languages: es * target languages: pag * OPUS readme: [es-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pag/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pag \| 25.3 \| 0.478 \|
Helsinki-NLP/opus-mt-es-pap	2021-01-18T08:27:25.000Z	[ "pytorch", "marian", "seq2seq", "es", "pap", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	40	transformers	--- tags: - translation --- ### opus-mt-es-pap * source languages: es * target languages: pap * OPUS readme: [es-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pap \| 28.2 \| 0.486 \|
Helsinki-NLP/opus-mt-es-pis	2021-01-18T08:27:31.000Z	[ "pytorch", "marian", "seq2seq", "es", "pis", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	27	transformers	--- tags: - translation --- ### opus-mt-es-pis * source languages: es * target languages: pis * OPUS readme: [es-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pis \| 27.1 \| 0.484 \|
Helsinki-NLP/opus-mt-es-pl	2021-01-18T08:27:36.000Z	[ "pytorch", "marian", "seq2seq", "es", "pl", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	60	transformers	--- tags: - translation --- ### opus-mt-es-pl * source languages: es * target languages: pl * OPUS readme: [es-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.pl \| 44.6 \| 0.649 \|
Helsinki-NLP/opus-mt-es-pon	2021-01-18T08:27:43.000Z	[ "pytorch", "marian", "seq2seq", "es", "pon", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	43	transformers	--- tags: - translation --- ### opus-mt-es-pon * source languages: es * target languages: pon * OPUS readme: [es-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pon/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.pon \| 21.6 \| 0.448 \|
Helsinki-NLP/opus-mt-es-prl	2021-01-18T08:27:46.000Z	[ "pytorch", "marian", "seq2seq", "es", "prl", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	41	transformers	--- tags: - translation --- ### opus-mt-es-prl * source languages: es * target languages: prl * OPUS readme: [es-prl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-prl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.prl \| 92.2 \| 0.950 \|
Helsinki-NLP/opus-mt-es-rn	2021-01-18T08:27:51.000Z	[ "pytorch", "marian", "seq2seq", "es", "rn", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	30	transformers	--- language: - es - rn tags: - translation license: apache-2.0 --- ### spa-run * source group: Spanish * target group: Rundi * OPUS readme: [spa-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md) * model: transformer-align * source language(s): spa * target language(s): run * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.run \| 10.1 \| 0.410 \| ### System Info: - hf_name: spa-run - source_languages: spa - target_languages: run - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'rn'] - src_constituents: {'spa'} - tgt_constituents: {'run'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt - src_alpha3: spa - tgt_alpha3: run - short_pair: es-rn - chrF2_score: 0.41 - bleu: 10.1 - brevity_penalty: 1.0 - ref_len: 3886.0 - src_name: Spanish - tgt_name: Rundi - train_date: 2020-06-16 - src_alpha2: es - tgt_alpha2: rn - prefer_old: False - long_pair: spa-run - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-ro	2021-01-18T08:27:56.000Z	[ "pytorch", "marian", "seq2seq", "es", "ro", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	286	transformers	--- tags: - translation --- ### opus-mt-es-ro * source languages: es * target languages: ro * OPUS readme: [es-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ro/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.es.ro \| 45.7 \| 0.666 \|
Helsinki-NLP/opus-mt-es-ru	2021-01-18T08:28:02.000Z	[ "pytorch", "marian", "seq2seq", "es", "ru", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	80	transformers	--- tags: - translation --- ### opus-mt-es-ru * source languages: es * target languages: ru * OPUS readme: [es-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ru/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newstest2012.es.ru \| 20.9 \| 0.489 \| \| newstest2013.es.ru \| 23.4 \| 0.504 \| \| Tatoeba.es.ru \| 47.0 \| 0.657 \|
Helsinki-NLP/opus-mt-es-rw	2021-01-18T08:28:08.000Z	[ "pytorch", "marian", "seq2seq", "es", "rw", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	40	transformers	--- tags: - translation --- ### opus-mt-es-rw * source languages: es * target languages: rw * OPUS readme: [es-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-rw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.rw \| 22.6 \| 0.472 \|
Helsinki-NLP/opus-mt-es-sg	2021-01-18T08:28:13.000Z	[ "pytorch", "marian", "seq2seq", "es", "sg", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	47	transformers	--- tags: - translation --- ### opus-mt-es-sg * source languages: es * target languages: sg * OPUS readme: [es-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sg \| 24.8 \| 0.435 \|
Helsinki-NLP/opus-mt-es-sl	2021-01-18T08:28:18.000Z	[ "pytorch", "marian", "seq2seq", "es", "sl", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	53	transformers	--- tags: - translation --- ### opus-mt-es-sl * source languages: es * target languages: sl * OPUS readme: [es-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sl \| 21.7 \| 0.455 \|
Helsinki-NLP/opus-mt-es-sm	2021-01-18T08:28:24.000Z	[ "pytorch", "marian", "seq2seq", "es", "sm", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	55	transformers	--- tags: - translation --- ### opus-mt-es-sm * source languages: es * target languages: sm * OPUS readme: [es-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sm/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sm \| 25.5 \| 0.450 \|
Helsinki-NLP/opus-mt-es-sn	2021-01-18T08:28:29.000Z	[ "pytorch", "marian", "seq2seq", "es", "sn", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	48	transformers	--- tags: - translation --- ### opus-mt-es-sn * source languages: es * target languages: sn * OPUS readme: [es-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.sn \| 23.6 \| 0.528 \|
Helsinki-NLP/opus-mt-es-srn	2021-01-18T08:28:35.000Z	[ "pytorch", "marian", "seq2seq", "es", "srn", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	41	transformers	--- tags: - translation --- ### opus-mt-es-srn * source languages: es * target languages: srn * OPUS readme: [es-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-srn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.srn \| 28.7 \| 0.487 \|
Helsinki-NLP/opus-mt-es-st	2021-01-18T08:28:40.000Z	[ "pytorch", "marian", "seq2seq", "es", "st", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	53	transformers	--- tags: - translation --- ### opus-mt-es-st * source languages: es * target languages: st * OPUS readme: [es-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-st/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.st \| 35.5 \| 0.556 \|
Helsinki-NLP/opus-mt-es-swc	2021-01-18T08:28:46.000Z	[ "pytorch", "marian", "seq2seq", "es", "swc", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	42	transformers	--- tags: - translation --- ### opus-mt-es-swc * source languages: es * target languages: swc * OPUS readme: [es-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-swc/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.swc \| 26.0 \| 0.490 \|
Helsinki-NLP/opus-mt-es-tl	2021-01-18T08:28:51.000Z	[ "pytorch", "marian", "seq2seq", "es", "tl", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	36	transformers	--- language: - es - tl tags: - translation license: apache-2.0 --- ### spa-tgl * source group: Spanish * target group: Tagalog * OPUS readme: [spa-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md) * model: transformer-align * source language(s): spa * target language(s): tgl_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.tgl \| 24.7 \| 0.538 \| ### System Info: - hf_name: spa-tgl - source_languages: spa - target_languages: tgl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'tl'] - src_constituents: {'spa'} - tgt_constituents: {'tgl_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: tgl - short_pair: es-tl - chrF2_score: 0.5379999999999999 - bleu: 24.7 - brevity_penalty: 1.0 - ref_len: 4422.0 - src_name: Spanish - tgt_name: Tagalog - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: tl - prefer_old: False - long_pair: spa-tgl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-tll	2021-01-18T08:28:57.000Z	[ "pytorch", "marian", "seq2seq", "es", "tll", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	54	transformers	--- tags: - translation --- ### opus-mt-es-tll * source languages: es * target languages: tll * OPUS readme: [es-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tll/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tll \| 20.7 \| 0.434 \|
Helsinki-NLP/opus-mt-es-tn	2021-01-18T08:29:02.000Z	[ "pytorch", "marian", "seq2seq", "es", "tn", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	40	transformers	--- tags: - translation --- ### opus-mt-es-tn * source languages: es * target languages: tn * OPUS readme: [es-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tn \| 32.2 \| 0.528 \|
Helsinki-NLP/opus-mt-es-to	2021-01-18T08:29:07.000Z	[ "pytorch", "marian", "seq2seq", "es", "to", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	32	transformers	--- tags: - translation --- ### opus-mt-es-to * source languages: es * target languages: to * OPUS readme: [es-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-to/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.to \| 35.7 \| 0.510 \|
Helsinki-NLP/opus-mt-es-tpi	2021-01-18T08:29:12.000Z	[ "pytorch", "marian", "seq2seq", "es", "tpi", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	38	transformers	--- tags: - translation --- ### opus-mt-es-tpi * source languages: es * target languages: tpi * OPUS readme: [es-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tpi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tpi \| 27.0 \| 0.472 \|
Helsinki-NLP/opus-mt-es-tvl	2021-01-18T08:29:17.000Z	[ "pytorch", "marian", "seq2seq", "es", "tvl", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	33	transformers	--- tags: - translation --- ### opus-mt-es-tvl * source languages: es * target languages: tvl * OPUS readme: [es-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tvl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tvl \| 28.3 \| 0.464 \|
Helsinki-NLP/opus-mt-es-tw	2021-01-18T08:29:22.000Z	[ "pytorch", "marian", "seq2seq", "es", "tw", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	42	transformers	--- tags: - translation --- ### opus-mt-es-tw * source languages: es * target languages: tw * OPUS readme: [es-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tw \| 26.3 \| 0.465 \|
Helsinki-NLP/opus-mt-es-ty	2021-01-18T08:29:28.000Z	[ "pytorch", "marian", "seq2seq", "es", "ty", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	41	transformers	--- tags: - translation --- ### opus-mt-es-ty * source languages: es * target languages: ty * OPUS readme: [es-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ty/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ty \| 37.3 \| 0.544 \|
Helsinki-NLP/opus-mt-es-tzo	2021-01-18T08:29:33.000Z	[ "pytorch", "marian", "seq2seq", "es", "tzo", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	26	transformers	--- tags: - translation --- ### opus-mt-es-tzo * source languages: es * target languages: tzo * OPUS readme: [es-tzo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tzo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.tzo \| 22.6 \| 0.469 \|
Helsinki-NLP/opus-mt-es-uk	2021-01-18T08:29:39.000Z	[ "pytorch", "marian", "seq2seq", "es", "uk", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	84	transformers	--- language: - es - uk tags: - translation license: apache-2.0 --- ### spa-ukr * source group: Spanish * target group: Ukrainian * OPUS readme: [spa-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md) * model: transformer-align * source language(s): spa * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.ukr \| 41.3 \| 0.614 \| ### System Info: - hf_name: spa-ukr - source_languages: spa - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'uk'] - src_constituents: {'spa'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: ukr - short_pair: es-uk - chrF2_score: 0.614 - bleu: 41.3 - brevity_penalty: 0.983 - ref_len: 53833.0 - src_name: Spanish - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: uk - prefer_old: False - long_pair: spa-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-ve	2021-01-18T08:29:44.000Z	[ "pytorch", "marian", "seq2seq", "es", "ve", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	28	transformers	--- tags: - translation --- ### opus-mt-es-ve * source languages: es * target languages: ve * OPUS readme: [es-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ve/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.ve \| 21.7 \| 0.440 \|
Helsinki-NLP/opus-mt-es-vi	2021-01-18T08:29:49.000Z	[ "pytorch", "marian", "seq2seq", "es", "vi", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	37	transformers	--- language: - es - vi tags: - translation license: apache-2.0 --- ### spa-vie * source group: Spanish * target group: Vietnamese * OPUS readme: [spa-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-vie/README.md) * model: transformer-align * source language(s): spa * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.spa.vie \| 33.1 \| 0.508 \| ### System Info: - hf_name: spa-vie - source_languages: spa - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'vi'] - src_constituents: {'spa'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: vie - short_pair: es-vi - chrF2_score: 0.508 - bleu: 33.1 - brevity_penalty: 0.98 - ref_len: 4654.0 - src_name: Spanish - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: vi - prefer_old: False - long_pair: spa-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-es-war	2021-01-18T08:29:55.000Z	[ "pytorch", "marian", "seq2seq", "es", "war", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	53	transformers	--- tags: - translation --- ### opus-mt-es-war * source languages: es * target languages: war * OPUS readme: [es-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-war/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.war \| 31.7 \| 0.530 \|
Helsinki-NLP/opus-mt-es-wls	2021-01-18T08:30:00.000Z	[ "pytorch", "marian", "seq2seq", "es", "wls", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	62	transformers	--- tags: - translation --- ### opus-mt-es-wls * source languages: es * target languages: wls * OPUS readme: [es-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-wls/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.wls \| 22.9 \| 0.437 \|
Helsinki-NLP/opus-mt-es-xh	2021-01-18T08:30:06.000Z	[ "pytorch", "marian", "seq2seq", "es", "xh", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	52	transformers	--- tags: - translation --- ### opus-mt-es-xh * source languages: es * target languages: xh * OPUS readme: [es-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-xh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.xh \| 25.0 \| 0.541 \|
Helsinki-NLP/opus-mt-es-yo	2021-01-18T08:30:12.000Z	[ "pytorch", "marian", "seq2seq", "es", "yo", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	43	transformers	--- tags: - translation --- ### opus-mt-es-yo * source languages: es * target languages: yo * OPUS readme: [es-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.yo \| 22.3 \| 0.387 \|
Helsinki-NLP/opus-mt-es-yua	2021-01-18T08:30:17.000Z	[ "pytorch", "marian", "seq2seq", "es", "yua", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	45	transformers	--- tags: - translation --- ### opus-mt-es-yua * source languages: es * target languages: yua * OPUS readme: [es-yua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.yua \| 23.6 \| 0.471 \|
Helsinki-NLP/opus-mt-es-zai	2021-01-18T08:30:21.000Z	[ "pytorch", "marian", "seq2seq", "es", "zai", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	55	transformers	--- tags: - translation --- ### opus-mt-es-zai * source languages: es * target languages: zai * OPUS readme: [es-zai](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-zai/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.es.zai \| 20.8 \| 0.426 \|
Helsinki-NLP/opus-mt-et-de	2021-01-18T08:30:26.000Z	[ "pytorch", "marian", "seq2seq", "et", "de", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	42	transformers	--- tags: - translation --- ### opus-mt-et-de * source languages: et * target languages: de * OPUS readme: [et-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.de \| 22.4 \| 0.474 \|
Helsinki-NLP/opus-mt-et-en	2021-01-18T08:30:30.000Z	[ "pytorch", "marian", "seq2seq", "et", "en", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	654	transformers	--- tags: - translation --- ### opus-mt-et-en * source languages: et * target languages: en * OPUS readme: [et-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2018-enet.et.en \| 30.1 \| 0.574 \| \| newstest2018-enet.et.en \| 30.3 \| 0.581 \| \| Tatoeba.et.en \| 59.9 \| 0.738 \|
Helsinki-NLP/opus-mt-et-es	2021-01-18T08:30:35.000Z	[ "pytorch", "marian", "seq2seq", "et", "es", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	51	transformers	--- tags: - translation --- ### opus-mt-et-es * source languages: et * target languages: es * OPUS readme: [et-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.es \| 27.2 \| 0.490 \|
Helsinki-NLP/opus-mt-et-fi	2021-01-18T08:30:40.000Z	[ "pytorch", "marian", "seq2seq", "et", "fi", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	29	transformers	--- tags: - translation --- ### opus-mt-et-fi * source languages: et * target languages: fi * OPUS readme: [et-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.fi \| 26.6 \| 0.546 \|
Helsinki-NLP/opus-mt-et-fr	2021-01-18T08:30:45.000Z	[ "pytorch", "marian", "seq2seq", "et", "fr", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	51	transformers	--- tags: - translation --- ### opus-mt-et-fr * source languages: et * target languages: fr * OPUS readme: [et-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.fr \| 26.2 \| 0.484 \|
Helsinki-NLP/opus-mt-et-ru	2021-01-18T08:30:52.000Z	[ "pytorch", "marian", "seq2seq", "et", "ru", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	32	transformers	--- language: - et - ru tags: - translation license: apache-2.0 --- ### est-rus * source group: Estonian * target group: Russian * OPUS readme: [est-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/est-rus/README.md) * model: transformer-align * source language(s): est * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.est.rus \| 50.2 \| 0.702 \| ### System Info: - hf_name: est-rus - source_languages: est - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/est-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['et', 'ru'] - src_constituents: {'est'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.test.txt - src_alpha3: est - tgt_alpha3: rus - short_pair: et-ru - chrF2_score: 0.7020000000000001 - bleu: 50.2 - brevity_penalty: 0.988 - ref_len: 3569.0 - src_name: Estonian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: et - tgt_alpha2: ru - prefer_old: False - long_pair: est-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-et-sv	2021-01-18T08:30:57.000Z	[ "pytorch", "marian", "seq2seq", "et", "sv", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	44	transformers	--- tags: - translation --- ### opus-mt-et-sv * source languages: et * target languages: sv * OPUS readme: [et-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.et.sv \| 28.9 \| 0.513 \|
Helsinki-NLP/opus-mt-eu-de	2021-01-18T08:31:02.000Z	[ "pytorch", "marian", "seq2seq", "eu", "de", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	50	transformers	--- language: - eu - de tags: - translation license: apache-2.0 --- ### eus-deu * source group: Basque * target group: German * OPUS readme: [eus-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md) * model: transformer-align * source language(s): eus * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.deu \| 36.3 \| 0.562 \| ### System Info: - hf_name: eus-deu - source_languages: eus - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'de'] - src_constituents: {'eus'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt - src_alpha3: eus - tgt_alpha3: deu - short_pair: eu-de - chrF2_score: 0.562 - bleu: 36.3 - brevity_penalty: 0.953 - ref_len: 3315.0 - src_name: Basque - tgt_name: German - train_date: 2020-06-16 - src_alpha2: eu - tgt_alpha2: de - prefer_old: False - long_pair: eus-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eu-en	2021-01-18T08:31:07.000Z	[ "pytorch", "marian", "seq2seq", "eu", "en", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	262	transformers	--- tags: - translation --- ### opus-mt-eu-en * source languages: eu * target languages: en * OPUS readme: [eu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eu-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.eu.en \| 46.1 \| 0.638 \|
Helsinki-NLP/opus-mt-eu-es	2021-01-18T08:31:14.000Z	[ "pytorch", "marian", "seq2seq", "eu", "es", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	89	transformers	--- language: - eu - es tags: - translation license: apache-2.0 --- ### eus-spa * source group: Basque * target group: Spanish * OPUS readme: [eus-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md) * model: transformer-align * source language(s): eus * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.spa \| 48.8 \| 0.673 \| ### System Info: - hf_name: eus-spa - source_languages: eus - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'es'] - src_constituents: {'eus'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt - src_alpha3: eus - tgt_alpha3: spa - short_pair: eu-es - chrF2_score: 0.6729999999999999 - bleu: 48.8 - brevity_penalty: 0.9640000000000001 - ref_len: 12469.0 - src_name: Basque - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: eu - tgt_alpha2: es - prefer_old: False - long_pair: eus-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-eu-ru	2021-01-18T08:31:17.000Z	[ "pytorch", "marian", "seq2seq", "eu", "ru", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	27	transformers	--- language: - eu - ru tags: - translation license: apache-2.0 --- ### eus-rus * source group: Basque * target group: Russian * OPUS readme: [eus-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md) * model: transformer-align * source language(s): eus * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.rus \| 31.3 \| 0.502 \| ### System Info: - hf_name: eus-rus - source_languages: eus - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'ru'] - src_constituents: {'eus'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt - src_alpha3: eus - tgt_alpha3: rus - short_pair: eu-ru - chrF2_score: 0.502 - bleu: 31.3 - brevity_penalty: 0.9420000000000001 - ref_len: 2428.0 - src_name: Basque - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: eu - tgt_alpha2: ru - prefer_old: False - long_pair: eus-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-euq-en	2021-01-18T08:31:22.000Z	[ "pytorch", "marian", "seq2seq", "euq", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	40	transformers	--- language: - euq - en tags: - translation license: apache-2.0 --- ### euq-eng * source group: Basque (family) * target group: English * OPUS readme: [euq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md) * model: transformer * source language(s): eus * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.eus.eng \| 41.5 \| 0.594 \| \| Tatoeba-test.eus-eng.eus.eng \| 41.5 \| 0.594 \| ### System Info: - hf_name: euq-eng - source_languages: euq - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['euq', 'en'] - src_constituents: {'eus'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt - src_alpha3: euq - tgt_alpha3: eng - short_pair: euq-en - chrF2_score: 0.594 - bleu: 41.5 - brevity_penalty: 0.9640000000000001 - ref_len: 8157.0 - src_name: Basque (family) - tgt_name: English - train_date: 2020-07-26 - src_alpha2: euq - tgt_alpha2: en - prefer_old: False - long_pair: euq-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-fi-NORWAY	2021-01-18T08:31:27.000Z	[ "pytorch", "marian", "seq2seq", "fi", "no", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	34	transformers	--- tags: - translation --- ### opus-mt-fi-NORWAY * source languages: fi * target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no * OPUS readme: [fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.no \| 34.2 \| 0.545 \|
Helsinki-NLP/opus-mt-fi-ZH	2021-01-18T08:31:32.000Z	[ "pytorch", "marian", "seq2seq", "fi", "zh", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	696	transformers	--- tags: - translation --- ### opus-mt-fi-ZH * source languages: fi * target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh * OPUS readme: [fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.fi.zh \| 23.4 \| 0.326 \|
Helsinki-NLP/opus-mt-fi-af	2021-01-18T08:31:38.000Z	[ "pytorch", "marian", "seq2seq", "fi", "af", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	49	transformers	--- tags: - translation --- ### opus-mt-fi-af * source languages: fi * target languages: af * OPUS readme: [fi-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-af/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.af \| 39.3 \| 0.588 \|
Helsinki-NLP/opus-mt-fi-bcl	2021-01-18T08:31:43.000Z	[ "pytorch", "marian", "seq2seq", "fi", "bcl", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	44	transformers	--- tags: - translation --- ### opus-mt-fi-bcl * source languages: fi * target languages: bcl * OPUS readme: [fi-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bcl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bcl \| 38.4 \| 0.604 \|
Helsinki-NLP/opus-mt-fi-bem	2021-01-18T08:31:49.000Z	[ "pytorch", "marian", "seq2seq", "fi", "bem", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	42	transformers	--- tags: - translation --- ### opus-mt-fi-bem * source languages: fi * target languages: bem * OPUS readme: [fi-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bem/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bem \| 21.4 \| 0.465 \|
Helsinki-NLP/opus-mt-fi-bg	2021-01-18T08:31:54.000Z	[ "pytorch", "marian", "seq2seq", "fi", "bg", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	46	transformers	--- tags: - translation --- ### opus-mt-fi-bg * source languages: fi * target languages: bg * OPUS readme: [fi-bg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bg \| 27.8 \| 0.502 \|
Helsinki-NLP/opus-mt-fi-bzs	2021-01-18T08:31:59.000Z	[ "pytorch", "marian", "seq2seq", "fi", "bzs", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	39	transformers	--- tags: - translation --- ### opus-mt-fi-bzs * source languages: fi * target languages: bzs * OPUS readme: [fi-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bzs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.bzs \| 27.2 \| 0.459 \|
Helsinki-NLP/opus-mt-fi-ceb	2021-01-18T08:32:05.000Z	[ "pytorch", "marian", "seq2seq", "fi", "ceb", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	28	transformers	--- tags: - translation --- ### opus-mt-fi-ceb * source languages: fi * target languages: ceb * OPUS readme: [fi-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ceb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ceb \| 35.1 \| 0.581 \|
Helsinki-NLP/opus-mt-fi-crs	2021-01-18T08:32:10.000Z	[ "pytorch", "marian", "seq2seq", "fi", "crs", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	31	transformers	--- tags: - translation --- ### opus-mt-fi-crs * source languages: fi * target languages: crs * OPUS readme: [fi-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-crs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.crs \| 29.6 \| 0.491 \|
Helsinki-NLP/opus-mt-fi-cs	2021-01-18T08:32:15.000Z	[ "pytorch", "marian", "seq2seq", "fi", "cs", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	263	transformers	--- tags: - translation --- ### opus-mt-fi-cs * source languages: fi * target languages: cs * OPUS readme: [fi-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-cs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.cs \| 25.0 \| 0.470 \|
Helsinki-NLP/opus-mt-fi-de	2021-01-18T08:32:21.000Z	[ "pytorch", "marian", "seq2seq", "fi", "de", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	212	transformers	--- tags: - translation --- ### opus-mt-fi-de * source languages: fi * target languages: de * OPUS readme: [fi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.zip) * test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.test.txt) * test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.de \| 45.2 \| 0.637 \|
Helsinki-NLP/opus-mt-fi-ee	2021-01-18T08:32:25.000Z	[ "pytorch", "marian", "seq2seq", "fi", "ee", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	50	transformers	--- tags: - translation --- ### opus-mt-fi-ee * source languages: fi * target languages: ee * OPUS readme: [fi-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ee/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.ee \| 28.0 \| 0.500 \|
Helsinki-NLP/opus-mt-fi-efi	2021-01-18T08:32:31.000Z	[ "pytorch", "marian", "seq2seq", "fi", "efi", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	50	transformers	--- tags: - translation --- ### opus-mt-fi-efi * source languages: fi * target languages: efi * OPUS readme: [fi-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-efi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.efi \| 26.6 \| 0.482 \|
Helsinki-NLP/opus-mt-fi-el	2021-01-18T08:32:36.000Z	[ "pytorch", "marian", "seq2seq", "fi", "el", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	45	transformers	--- tags: - translation --- ### opus-mt-fi-el * source languages: fi * target languages: el * OPUS readme: [fi-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.el \| 27.1 \| 0.490 \|
Helsinki-NLP/opus-mt-fi-en	2021-01-18T08:32:43.000Z	[ "pytorch", "marian", "seq2seq", "fi", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	2,710	transformers	--- language: - fi - en tags: - translation license: apache-2.0 --- ### fin-eng * source group: Finnish * target group: English * OPUS readme: [fin-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md) * model: transformer-align * source language(s): fin * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-08-05.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip) * test set translations: [opus-2020-08-05.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt) * test set scores: [opus-2020-08-05.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2015-enfi-fineng.fin.eng \| 25.3 \| 0.536 \| \| newstest2015-enfi-fineng.fin.eng \| 26.9 \| 0.547 \| \| newstest2016-enfi-fineng.fin.eng \| 29.0 \| 0.571 \| \| newstest2017-enfi-fineng.fin.eng \| 32.3 \| 0.594 \| \| newstest2018-enfi-fineng.fin.eng \| 23.8 \| 0.517 \| \| newstest2019-fien-fineng.fin.eng \| 29.0 \| 0.565 \| \| newstestB2016-enfi-fineng.fin.eng \| 24.5 \| 0.527 \| \| newstestB2017-enfi-fineng.fin.eng \| 27.4 \| 0.557 \| \| newstestB2017-fien-fineng.fin.eng \| 27.4 \| 0.557 \| \| Tatoeba-test.fin.eng \| 53.4 \| 0.697 \| ### System Info: - hf_name: fin-eng - source_languages: fin - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fi', 'en'] - src_constituents: {'fin'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt - src_alpha3: fin - tgt_alpha3: eng - short_pair: fi-en - chrF2_score: 0.6970000000000001 - bleu: 53.4 - brevity_penalty: 0.99 - ref_len: 74651.0 - src_name: Finnish - tgt_name: English - train_date: 2020-08-05 - src_alpha2: fi - tgt_alpha2: en - prefer_old: False - long_pair: fin-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-fi-eo	2021-01-18T08:32:48.000Z	[ "pytorch", "marian", "seq2seq", "fi", "eo", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	29	transformers	--- language: - fi - eo tags: - translation license: apache-2.0 --- ### fin-epo * source group: Finnish * target group: Esperanto * OPUS readme: [fin-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md) * model: transformer-align * source language(s): fin * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.fin.epo \| 22.5 \| 0.413 \| ### System Info: - hf_name: fin-epo - source_languages: fin - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fi', 'eo'] - src_constituents: {'fin'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt - src_alpha3: fin - tgt_alpha3: epo - short_pair: fi-eo - chrF2_score: 0.413 - bleu: 22.5 - brevity_penalty: 0.9490000000000001 - ref_len: 18881.0 - src_name: Finnish - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: fi - tgt_alpha2: eo - prefer_old: False - long_pair: fin-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-fi-es	2021-01-18T08:32:53.000Z	[ "pytorch", "marian", "seq2seq", "fi", "es", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	55	transformers	--- tags: - translation --- ### opus-mt-fi-es * source languages: fi * target languages: es * OPUS readme: [fi-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.es \| 51.5 \| 0.700 \|
Helsinki-NLP/opus-mt-fi-et	2021-01-18T08:32:59.000Z	[ "pytorch", "marian", "seq2seq", "fi", "et", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	52	transformers	--- tags: - translation --- ### opus-mt-fi-et * source languages: fi * target languages: et * OPUS readme: [fi-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-et/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.et \| 25.2 \| 0.519 \|
Helsinki-NLP/opus-mt-fi-fi	2021-01-18T08:33:04.000Z	[ "pytorch", "marian", "seq2seq", "fi", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	44	transformers	--- tags: - translation --- ### opus-mt-fi-fi * source languages: fi * target languages: fi * OPUS readme: [fi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.fi.fi \| 23.3 \| 0.554 \|
Helsinki-NLP/opus-mt-fi-fj	2021-01-18T08:33:09.000Z	[ "pytorch", "marian", "seq2seq", "fi", "fj", "transformers", "translation", "text2text-generation" ]	translation	[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]	Helsinki-NLP	61	transformers	--- tags: - translation --- ### opus-mt-fi-fj * source languages: fi * target languages: fj * OPUS readme: [fi-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.fi.fj \| 26.6 \| 0.500 \|

Helsinki-NLP/opus-mt-es-fi

2021-01-18T08:24:04.000Z

[ "pytorch", "marian", "seq2seq", "es", "fi", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

64

transformers

--- tags: - translation --- ### opus-mt-es-fi * source languages: es * target languages: fi * OPUS readme: [es-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.fi | 44.4 | 0.672 |

Helsinki-NLP/opus-mt-es-fj

2021-01-18T08:24:10.000Z

[ "pytorch", "marian", "seq2seq", "es", "fj", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

52

transformers

--- tags: - translation --- ### opus-mt-es-fj * source languages: es * target languages: fj * OPUS readme: [es-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fj/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.fj | 24.8 | 0.472 |

Helsinki-NLP/opus-mt-es-fr

2021-01-18T08:24:15.000Z

[ "pytorch", "marian", "seq2seq", "es", "fr", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

200

transformers

--- tags: - translation --- ### opus-mt-es-fr * source languages: es * target languages: fr * OPUS readme: [es-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009.es.fr | 33.6 | 0.610 | | news-test2008.es.fr | 32.0 | 0.585 | | newstest2009.es.fr | 32.5 | 0.590 | | newstest2010.es.fr | 35.0 | 0.615 | | newstest2011.es.fr | 33.9 | 0.607 | | newstest2012.es.fr | 32.4 | 0.602 | | newstest2013.es.fr | 32.1 | 0.593 | | Tatoeba.es.fr | 58.4 | 0.731 |

Helsinki-NLP/opus-mt-es-gaa

2021-01-18T08:24:21.000Z

[ "pytorch", "marian", "seq2seq", "es", "gaa", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

47

transformers

--- tags: - translation --- ### opus-mt-es-gaa * source languages: es * target languages: gaa * OPUS readme: [es-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gaa/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.gaa | 27.8 | 0.479 |

Helsinki-NLP/opus-mt-es-gil

2021-01-18T08:24:26.000Z

[ "pytorch", "marian", "seq2seq", "es", "gil", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

58

transformers

--- tags: - translation --- ### opus-mt-es-gil * source languages: es * target languages: gil * OPUS readme: [es-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.gil | 23.8 | 0.470 |

Helsinki-NLP/opus-mt-es-gl

2021-01-18T08:24:32.000Z

[ "pytorch", "marian", "seq2seq", "es", "gl", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

53

transformers

--- language: - es - gl tags: - translation license: apache-2.0 --- ### spa-glg * source group: Spanish * target group: Galician * OPUS readme: [spa-glg](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md) * model: transformer-align * source language(s): spa * target language(s): glg * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.glg | 67.6 | 0.808 | ### System Info: - hf_name: spa-glg - source_languages: spa - target_languages: glg - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'gl'] - src_constituents: {'spa'} - tgt_constituents: {'glg'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt - src_alpha3: spa - tgt_alpha3: glg - short_pair: es-gl - chrF2_score: 0.8079999999999999 - bleu: 67.6 - brevity_penalty: 0.993 - ref_len: 16581.0 - src_name: Spanish - tgt_name: Galician - train_date: 2020-06-16 - src_alpha2: es - tgt_alpha2: gl - prefer_old: False - long_pair: spa-glg - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-guw

2021-01-18T08:24:38.000Z

[ "pytorch", "marian", "seq2seq", "es", "guw", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

46

transformers

--- tags: - translation --- ### opus-mt-es-guw * source languages: es * target languages: guw * OPUS readme: [es-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-guw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-guw/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.guw | 28.6 | 0.480 |

Helsinki-NLP/opus-mt-es-ha

2021-01-18T08:24:44.000Z

[ "pytorch", "marian", "seq2seq", "es", "ha", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

50

transformers

--- tags: - translation --- ### opus-mt-es-ha * source languages: es * target languages: ha * OPUS readme: [es-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ha | 20.6 | 0.421 |

Helsinki-NLP/opus-mt-es-he

2021-01-18T08:24:50.000Z

[ "pytorch", "marian", "seq2seq", "es", "he", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "special_tokens_map.json", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

53

transformers

--- language: - es - he tags: - translation license: apache-2.0 --- ### es-he * source group: Spanish * target group: Hebrew * OPUS readme: [spa-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md) * model: transformer * source language(s): spa * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip) * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt) * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.heb | 43.6 | 0.636 | ### System Info: - hf_name: es-he - source_languages: spa - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'he'] - src_constituents: ('Spanish', {'spa'}) - tgt_constituents: ('Hebrew', {'heb'}) - src_multilingual: False - tgt_multilingual: False - long_pair: spa-heb - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt - src_alpha3: spa - tgt_alpha3: heb - chrF2_score: 0.636 - bleu: 43.6 - brevity_penalty: 0.992 - ref_len: 12112.0 - src_name: Spanish - tgt_name: Hebrew - train_date: 2020-12-10 00:00:00 - src_alpha2: es - tgt_alpha2: he - prefer_old: False - short_pair: es-he - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de - port_machine: LM0-400-22516.local - port_time: 2020-12-11-11:41

Helsinki-NLP/opus-mt-es-hil

2021-01-18T08:24:56.000Z

[ "pytorch", "marian", "seq2seq", "es", "hil", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

36

transformers

--- tags: - translation --- ### opus-mt-es-hil * source languages: es * target languages: hil * OPUS readme: [es-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hil/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.hil | 35.8 | 0.584 |

Helsinki-NLP/opus-mt-es-ho

2021-01-18T08:25:05.000Z

[ "pytorch", "marian", "seq2seq", "es", "ho", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

35

transformers

--- tags: - translation --- ### opus-mt-es-ho * source languages: es * target languages: ho * OPUS readme: [es-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ho/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ho | 22.8 | 0.463 |

Helsinki-NLP/opus-mt-es-hr

2021-01-18T08:25:12.000Z

[ "pytorch", "marian", "seq2seq", "es", "hr", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

41

transformers

--- tags: - translation --- ### opus-mt-es-hr * source languages: es * target languages: hr * OPUS readme: [es-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-hr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-hr/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.hr | 21.7 | 0.459 |

Helsinki-NLP/opus-mt-es-ht

2021-01-18T08:25:17.000Z

[ "pytorch", "marian", "seq2seq", "es", "ht", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

45

transformers

--- tags: - translation --- ### opus-mt-es-ht * source languages: es * target languages: ht * OPUS readme: [es-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ht/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ht | 23.3 | 0.407 |

Helsinki-NLP/opus-mt-es-id

2021-01-18T08:25:24.000Z

[ "pytorch", "marian", "seq2seq", "es", "id", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

50

transformers

--- tags: - translation --- ### opus-mt-es-id * source languages: es * target languages: id * OPUS readme: [es-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-id/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-id/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | GlobalVoices.es.id | 21.1 | 0.516 |

Helsinki-NLP/opus-mt-es-ig

2021-01-18T08:25:30.000Z

[ "pytorch", "marian", "seq2seq", "es", "ig", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

55

transformers

--- tags: - translation --- ### opus-mt-es-ig * source languages: es * target languages: ig * OPUS readme: [es-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ig/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ig | 27.0 | 0.434 |

Helsinki-NLP/opus-mt-es-ilo

2021-01-18T08:25:37.000Z

[ "pytorch", "marian", "seq2seq", "es", "ilo", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

48

transformers

--- tags: - translation --- ### opus-mt-es-ilo * source languages: es * target languages: ilo * OPUS readme: [es-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ilo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ilo/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ilo | 31.0 | 0.544 |

Helsinki-NLP/opus-mt-es-is

2021-01-18T08:25:44.000Z

[ "pytorch", "marian", "seq2seq", "es", "is", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

67

transformers

--- language: - es - is tags: - translation license: apache-2.0 --- ### spa-isl * source group: Spanish * target group: Icelandic * OPUS readme: [spa-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md) * model: transformer-align * source language(s): spa * target language(s): isl * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.isl | 27.1 | 0.528 | ### System Info: - hf_name: spa-isl - source_languages: spa - target_languages: isl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'is'] - src_constituents: {'spa'} - tgt_constituents: {'isl'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: isl - short_pair: es-is - chrF2_score: 0.528 - bleu: 27.1 - brevity_penalty: 1.0 - ref_len: 1220.0 - src_name: Spanish - tgt_name: Icelandic - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: is - prefer_old: False - long_pair: spa-isl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-iso

2021-01-18T08:25:50.000Z

[ "pytorch", "marian", "seq2seq", "es", "iso", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

40

transformers

--- tags: - translation --- ### opus-mt-es-iso * source languages: es * target languages: iso * OPUS readme: [es-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-iso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.iso | 22.4 | 0.396 |

Helsinki-NLP/opus-mt-es-it

2021-01-18T08:25:56.000Z

[ "pytorch", "marian", "seq2seq", "es", "it", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

241

transformers

--- tags: - translation --- ### opus-mt-es-it * source languages: es * target languages: it * OPUS readme: [es-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-it/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.it | 55.9 | 0.751 |

Helsinki-NLP/opus-mt-es-kg

2021-01-18T08:26:01.000Z

[ "pytorch", "marian", "seq2seq", "es", "kg", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

39

transformers

--- tags: - translation --- ### opus-mt-es-kg * source languages: es * target languages: kg * OPUS readme: [es-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-kg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-kg/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.kg | 25.6 | 0.488 |

Helsinki-NLP/opus-mt-es-ln

2021-01-18T08:26:07.000Z

[ "pytorch", "marian", "seq2seq", "es", "ln", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

45

transformers

--- tags: - translation --- ### opus-mt-es-ln * source languages: es * target languages: ln * OPUS readme: [es-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ln/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ln | 27.1 | 0.508 |

Helsinki-NLP/opus-mt-es-loz

2021-01-18T08:26:13.000Z

[ "pytorch", "marian", "seq2seq", "es", "loz", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

32

transformers

--- tags: - translation --- ### opus-mt-es-loz * source languages: es * target languages: loz * OPUS readme: [es-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-loz/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.loz | 28.6 | 0.493 |

Helsinki-NLP/opus-mt-es-lt

2021-01-18T08:26:19.000Z

[ "pytorch", "marian", "seq2seq", "es", "lt", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

33

transformers

--- language: - es - lt tags: - translation license: apache-2.0 --- ### spa-lit * source group: Spanish * target group: Lithuanian * OPUS readme: [spa-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-lit/README.md) * model: transformer-align * source language(s): spa * target language(s): lit * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.lit | 40.2 | 0.643 | ### System Info: - hf_name: spa-lit - source_languages: spa - target_languages: lit - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-lit/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'lt'] - src_constituents: {'spa'} - tgt_constituents: {'lit'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-lit/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: lit - short_pair: es-lt - chrF2_score: 0.643 - bleu: 40.2 - brevity_penalty: 0.956 - ref_len: 2341.0 - src_name: Spanish - tgt_name: Lithuanian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: lt - prefer_old: False - long_pair: spa-lit - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-lua

2021-01-18T08:26:24.000Z

[ "pytorch", "marian", "seq2seq", "es", "lua", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

27

transformers

--- tags: - translation --- ### opus-mt-es-lua * source languages: es * target languages: lua * OPUS readme: [es-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-lua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lua/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.lua | 23.4 | 0.473 |

Helsinki-NLP/opus-mt-es-lus

2021-01-18T08:26:30.000Z

[ "pytorch", "marian", "seq2seq", "es", "lus", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

44

transformers

--- tags: - translation --- ### opus-mt-es-lus * source languages: es * target languages: lus * OPUS readme: [es-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-lus/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-lus/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.lus | 20.9 | 0.414 |

Helsinki-NLP/opus-mt-es-mfs

2021-01-18T08:26:36.000Z

[ "pytorch", "marian", "seq2seq", "es", "mfs", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

27

transformers

--- tags: - translation --- ### opus-mt-es-mfs * source languages: es * target languages: mfs * OPUS readme: [es-mfs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mfs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mfs/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.mfs | 88.6 | 0.907 |

Helsinki-NLP/opus-mt-es-mk

2021-01-18T08:26:44.000Z

[ "pytorch", "marian", "seq2seq", "es", "mk", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

82

transformers

--- language: - es - mk tags: - translation license: apache-2.0 --- ### spa-mkd * source group: Spanish * target group: Macedonian * OPUS readme: [spa-mkd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md) * model: transformer-align * source language(s): spa * target language(s): mkd * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.mkd | 48.2 | 0.681 | ### System Info: - hf_name: spa-mkd - source_languages: spa - target_languages: mkd - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'mk'] - src_constituents: {'spa'} - tgt_constituents: {'mkd'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: mkd - short_pair: es-mk - chrF2_score: 0.6809999999999999 - bleu: 48.2 - brevity_penalty: 1.0 - ref_len: 1073.0 - src_name: Spanish - tgt_name: Macedonian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: mk - prefer_old: False - long_pair: spa-mkd - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-mt

2021-01-18T08:26:48.000Z

[ "pytorch", "marian", "seq2seq", "es", "mt", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

27

transformers

--- tags: - translation --- ### opus-mt-es-mt * source languages: es * target languages: mt * OPUS readme: [es-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-mt/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.mt | 28.1 | 0.460 |

Helsinki-NLP/opus-mt-es-niu

2021-01-18T08:26:53.000Z

[ "pytorch", "marian", "seq2seq", "es", "niu", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

61

transformers

--- tags: - translation --- ### opus-mt-es-niu * source languages: es * target languages: niu * OPUS readme: [es-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-niu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-niu/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.niu | 29.9 | 0.506 |

Helsinki-NLP/opus-mt-es-nl

2021-01-18T08:26:59.000Z

[ "pytorch", "marian", "seq2seq", "es", "nl", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

59

transformers

--- tags: - translation --- ### opus-mt-es-nl * source languages: es * target languages: nl * OPUS readme: [es-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nl/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.nl | 50.6 | 0.681 |

Helsinki-NLP/opus-mt-es-no

2021-01-18T08:27:04.000Z

[ "pytorch", "marian", "seq2seq", "es", "no", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

36

transformers

--- language: - es - no tags: - translation license: apache-2.0 --- ### spa-nor * source group: Spanish * target group: Norwegian * OPUS readme: [spa-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md) * model: transformer-align * source language(s): spa * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.nor | 36.7 | 0.565 | ### System Info: - hf_name: spa-nor - source_languages: spa - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'no'] - src_constituents: {'spa'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: nor - short_pair: es-no - chrF2_score: 0.565 - bleu: 36.7 - brevity_penalty: 0.99 - ref_len: 7217.0 - src_name: Spanish - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: no - prefer_old: False - long_pair: spa-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-nso

2021-01-18T08:27:09.000Z

[ "pytorch", "marian", "seq2seq", "es", "nso", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

39

transformers

--- tags: - translation --- ### opus-mt-es-nso * source languages: es * target languages: nso * OPUS readme: [es-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nso/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.nso | 33.2 | 0.531 |

Helsinki-NLP/opus-mt-es-ny

2021-01-18T08:27:14.000Z

[ "pytorch", "marian", "seq2seq", "es", "ny", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

28

transformers

--- tags: - translation --- ### opus-mt-es-ny * source languages: es * target languages: ny * OPUS readme: [es-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ny/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ny/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ny | 22.9 | 0.494 |

Helsinki-NLP/opus-mt-es-pag

2021-01-18T08:27:20.000Z

[ "pytorch", "marian", "seq2seq", "es", "pag", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

32

transformers

--- tags: - translation --- ### opus-mt-es-pag * source languages: es * target languages: pag * OPUS readme: [es-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pag/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pag/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.pag | 25.3 | 0.478 |

Helsinki-NLP/opus-mt-es-pap

2021-01-18T08:27:25.000Z

[ "pytorch", "marian", "seq2seq", "es", "pap", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

40

transformers

--- tags: - translation --- ### opus-mt-es-pap * source languages: es * target languages: pap * OPUS readme: [es-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pap/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.pap | 28.2 | 0.486 |

Helsinki-NLP/opus-mt-es-pis

2021-01-18T08:27:31.000Z

[ "pytorch", "marian", "seq2seq", "es", "pis", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

27

transformers

--- tags: - translation --- ### opus-mt-es-pis * source languages: es * target languages: pis * OPUS readme: [es-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pis/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.pis | 27.1 | 0.484 |

Helsinki-NLP/opus-mt-es-pl

2021-01-18T08:27:36.000Z

[ "pytorch", "marian", "seq2seq", "es", "pl", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

60

transformers

--- tags: - translation --- ### opus-mt-es-pl * source languages: es * target languages: pl * OPUS readme: [es-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pl/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.pl | 44.6 | 0.649 |

Helsinki-NLP/opus-mt-es-pon

2021-01-18T08:27:43.000Z

[ "pytorch", "marian", "seq2seq", "es", "pon", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

43

transformers

--- tags: - translation --- ### opus-mt-es-pon * source languages: es * target languages: pon * OPUS readme: [es-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pon/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-pon/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.pon | 21.6 | 0.448 |

Helsinki-NLP/opus-mt-es-prl

2021-01-18T08:27:46.000Z

[ "pytorch", "marian", "seq2seq", "es", "prl", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

41

transformers

--- tags: - translation --- ### opus-mt-es-prl * source languages: es * target languages: prl * OPUS readme: [es-prl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-prl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.prl | 92.2 | 0.950 |

Helsinki-NLP/opus-mt-es-rn

2021-01-18T08:27:51.000Z

[ "pytorch", "marian", "seq2seq", "es", "rn", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

30

transformers

--- language: - es - rn tags: - translation license: apache-2.0 --- ### spa-run * source group: Spanish * target group: Rundi * OPUS readme: [spa-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md) * model: transformer-align * source language(s): spa * target language(s): run * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.run | 10.1 | 0.410 | ### System Info: - hf_name: spa-run - source_languages: spa - target_languages: run - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'rn'] - src_constituents: {'spa'} - tgt_constituents: {'run'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt - src_alpha3: spa - tgt_alpha3: run - short_pair: es-rn - chrF2_score: 0.41 - bleu: 10.1 - brevity_penalty: 1.0 - ref_len: 3886.0 - src_name: Spanish - tgt_name: Rundi - train_date: 2020-06-16 - src_alpha2: es - tgt_alpha2: rn - prefer_old: False - long_pair: spa-run - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-ro

2021-01-18T08:27:56.000Z

[ "pytorch", "marian", "seq2seq", "es", "ro", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

286

transformers

--- tags: - translation --- ### opus-mt-es-ro * source languages: es * target languages: ro * OPUS readme: [es-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ro/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ro/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.es.ro | 45.7 | 0.666 |

Helsinki-NLP/opus-mt-es-ru

2021-01-18T08:28:02.000Z

[ "pytorch", "marian", "seq2seq", "es", "ru", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

80

transformers

--- tags: - translation --- ### opus-mt-es-ru * source languages: es * target languages: ru * OPUS readme: [es-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ru/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ru/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newstest2012.es.ru | 20.9 | 0.489 | | newstest2013.es.ru | 23.4 | 0.504 | | Tatoeba.es.ru | 47.0 | 0.657 |

Helsinki-NLP/opus-mt-es-rw

2021-01-18T08:28:08.000Z

[ "pytorch", "marian", "seq2seq", "es", "rw", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

40

transformers

--- tags: - translation --- ### opus-mt-es-rw * source languages: es * target languages: rw * OPUS readme: [es-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-rw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-rw/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.rw | 22.6 | 0.472 |

Helsinki-NLP/opus-mt-es-sg

2021-01-18T08:28:13.000Z

[ "pytorch", "marian", "seq2seq", "es", "sg", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

47

transformers

--- tags: - translation --- ### opus-mt-es-sg * source languages: es * target languages: sg * OPUS readme: [es-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sg/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.sg | 24.8 | 0.435 |

Helsinki-NLP/opus-mt-es-sl

2021-01-18T08:28:18.000Z

[ "pytorch", "marian", "seq2seq", "es", "sl", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

53

transformers

--- tags: - translation --- ### opus-mt-es-sl * source languages: es * target languages: sl * OPUS readme: [es-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sl/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.sl | 21.7 | 0.455 |

Helsinki-NLP/opus-mt-es-sm

2021-01-18T08:28:24.000Z

[ "pytorch", "marian", "seq2seq", "es", "sm", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

55

transformers

--- tags: - translation --- ### opus-mt-es-sm * source languages: es * target languages: sm * OPUS readme: [es-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sm/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sm/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.sm | 25.5 | 0.450 |

Helsinki-NLP/opus-mt-es-sn

2021-01-18T08:28:29.000Z

[ "pytorch", "marian", "seq2seq", "es", "sn", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

48

transformers

--- tags: - translation --- ### opus-mt-es-sn * source languages: es * target languages: sn * OPUS readme: [es-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-sn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-sn/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.sn | 23.6 | 0.528 |

Helsinki-NLP/opus-mt-es-srn

2021-01-18T08:28:35.000Z

[ "pytorch", "marian", "seq2seq", "es", "srn", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

41

transformers

--- tags: - translation --- ### opus-mt-es-srn * source languages: es * target languages: srn * OPUS readme: [es-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-srn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.srn | 28.7 | 0.487 |

Helsinki-NLP/opus-mt-es-st

2021-01-18T08:28:40.000Z

[ "pytorch", "marian", "seq2seq", "es", "st", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

53

transformers

--- tags: - translation --- ### opus-mt-es-st * source languages: es * target languages: st * OPUS readme: [es-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-st/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-st/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.st | 35.5 | 0.556 |

Helsinki-NLP/opus-mt-es-swc

2021-01-18T08:28:46.000Z

[ "pytorch", "marian", "seq2seq", "es", "swc", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

42

transformers

--- tags: - translation --- ### opus-mt-es-swc * source languages: es * target languages: swc * OPUS readme: [es-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-swc/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-swc/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.swc | 26.0 | 0.490 |

Helsinki-NLP/opus-mt-es-tl

2021-01-18T08:28:51.000Z

[ "pytorch", "marian", "seq2seq", "es", "tl", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

36

transformers

--- language: - es - tl tags: - translation license: apache-2.0 --- ### spa-tgl * source group: Spanish * target group: Tagalog * OPUS readme: [spa-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md) * model: transformer-align * source language(s): spa * target language(s): tgl_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.tgl | 24.7 | 0.538 | ### System Info: - hf_name: spa-tgl - source_languages: spa - target_languages: tgl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'tl'] - src_constituents: {'spa'} - tgt_constituents: {'tgl_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: tgl - short_pair: es-tl - chrF2_score: 0.5379999999999999 - bleu: 24.7 - brevity_penalty: 1.0 - ref_len: 4422.0 - src_name: Spanish - tgt_name: Tagalog - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: tl - prefer_old: False - long_pair: spa-tgl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-tll

2021-01-18T08:28:57.000Z

[ "pytorch", "marian", "seq2seq", "es", "tll", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

54

transformers

--- tags: - translation --- ### opus-mt-es-tll * source languages: es * target languages: tll * OPUS readme: [es-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tll/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tll/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.tll | 20.7 | 0.434 |

Helsinki-NLP/opus-mt-es-tn

2021-01-18T08:29:02.000Z

[ "pytorch", "marian", "seq2seq", "es", "tn", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

40

transformers

--- tags: - translation --- ### opus-mt-es-tn * source languages: es * target languages: tn * OPUS readme: [es-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tn/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.tn | 32.2 | 0.528 |

Helsinki-NLP/opus-mt-es-to

2021-01-18T08:29:07.000Z

[ "pytorch", "marian", "seq2seq", "es", "to", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

32

transformers

--- tags: - translation --- ### opus-mt-es-to * source languages: es * target languages: to * OPUS readme: [es-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-to/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-to/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.to | 35.7 | 0.510 |

Helsinki-NLP/opus-mt-es-tpi

2021-01-18T08:29:12.000Z

[ "pytorch", "marian", "seq2seq", "es", "tpi", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

38

transformers

--- tags: - translation --- ### opus-mt-es-tpi * source languages: es * target languages: tpi * OPUS readme: [es-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tpi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.tpi | 27.0 | 0.472 |

Helsinki-NLP/opus-mt-es-tvl

2021-01-18T08:29:17.000Z

[ "pytorch", "marian", "seq2seq", "es", "tvl", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

33

transformers

--- tags: - translation --- ### opus-mt-es-tvl * source languages: es * target languages: tvl * OPUS readme: [es-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tvl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tvl/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.tvl | 28.3 | 0.464 |

Helsinki-NLP/opus-mt-es-tw

2021-01-18T08:29:22.000Z

[ "pytorch", "marian", "seq2seq", "es", "tw", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

42

transformers

--- tags: - translation --- ### opus-mt-es-tw * source languages: es * target languages: tw * OPUS readme: [es-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tw/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.tw | 26.3 | 0.465 |

Helsinki-NLP/opus-mt-es-ty

2021-01-18T08:29:28.000Z

[ "pytorch", "marian", "seq2seq", "es", "ty", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

41

transformers

--- tags: - translation --- ### opus-mt-es-ty * source languages: es * target languages: ty * OPUS readme: [es-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ty/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ty | 37.3 | 0.544 |

Helsinki-NLP/opus-mt-es-tzo

2021-01-18T08:29:33.000Z

[ "pytorch", "marian", "seq2seq", "es", "tzo", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

26

transformers

--- tags: - translation --- ### opus-mt-es-tzo * source languages: es * target languages: tzo * OPUS readme: [es-tzo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tzo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.tzo | 22.6 | 0.469 |

Helsinki-NLP/opus-mt-es-uk

2021-01-18T08:29:39.000Z

[ "pytorch", "marian", "seq2seq", "es", "uk", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

84

transformers

--- language: - es - uk tags: - translation license: apache-2.0 --- ### spa-ukr * source group: Spanish * target group: Ukrainian * OPUS readme: [spa-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md) * model: transformer-align * source language(s): spa * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.ukr | 41.3 | 0.614 | ### System Info: - hf_name: spa-ukr - source_languages: spa - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'uk'] - src_constituents: {'spa'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: ukr - short_pair: es-uk - chrF2_score: 0.614 - bleu: 41.3 - brevity_penalty: 0.983 - ref_len: 53833.0 - src_name: Spanish - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: uk - prefer_old: False - long_pair: spa-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-ve

2021-01-18T08:29:44.000Z

[ "pytorch", "marian", "seq2seq", "es", "ve", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

28

transformers

--- tags: - translation --- ### opus-mt-es-ve * source languages: es * target languages: ve * OPUS readme: [es-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ve/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ve/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.ve | 21.7 | 0.440 |

Helsinki-NLP/opus-mt-es-vi

2021-01-18T08:29:49.000Z

[ "pytorch", "marian", "seq2seq", "es", "vi", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

37

transformers

--- language: - es - vi tags: - translation license: apache-2.0 --- ### spa-vie * source group: Spanish * target group: Vietnamese * OPUS readme: [spa-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-vie/README.md) * model: transformer-align * source language(s): spa * target language(s): vie * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.spa.vie | 33.1 | 0.508 | ### System Info: - hf_name: spa-vie - source_languages: spa - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['es', 'vi'] - src_constituents: {'spa'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.test.txt - src_alpha3: spa - tgt_alpha3: vie - short_pair: es-vi - chrF2_score: 0.508 - bleu: 33.1 - brevity_penalty: 0.98 - ref_len: 4654.0 - src_name: Spanish - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: es - tgt_alpha2: vi - prefer_old: False - long_pair: spa-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-es-war

2021-01-18T08:29:55.000Z

[ "pytorch", "marian", "seq2seq", "es", "war", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

53

transformers

--- tags: - translation --- ### opus-mt-es-war * source languages: es * target languages: war * OPUS readme: [es-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-war/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-war/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.war | 31.7 | 0.530 |

Helsinki-NLP/opus-mt-es-wls

2021-01-18T08:30:00.000Z

[ "pytorch", "marian", "seq2seq", "es", "wls", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

62

transformers

--- tags: - translation --- ### opus-mt-es-wls * source languages: es * target languages: wls * OPUS readme: [es-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-wls/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-wls/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.wls | 22.9 | 0.437 |

Helsinki-NLP/opus-mt-es-xh

2021-01-18T08:30:06.000Z

[ "pytorch", "marian", "seq2seq", "es", "xh", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

52

transformers

--- tags: - translation --- ### opus-mt-es-xh * source languages: es * target languages: xh * OPUS readme: [es-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-xh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.xh | 25.0 | 0.541 |

Helsinki-NLP/opus-mt-es-yo

2021-01-18T08:30:12.000Z

[ "pytorch", "marian", "seq2seq", "es", "yo", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

43

transformers

--- tags: - translation --- ### opus-mt-es-yo * source languages: es * target languages: yo * OPUS readme: [es-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yo/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.yo | 22.3 | 0.387 |

Helsinki-NLP/opus-mt-es-yua

2021-01-18T08:30:17.000Z

[ "pytorch", "marian", "seq2seq", "es", "yua", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

45

transformers

--- tags: - translation --- ### opus-mt-es-yua * source languages: es * target languages: yua * OPUS readme: [es-yua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-yua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-yua/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.yua | 23.6 | 0.471 |

Helsinki-NLP/opus-mt-es-zai

2021-01-18T08:30:21.000Z

[ "pytorch", "marian", "seq2seq", "es", "zai", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

55

transformers

--- tags: - translation --- ### opus-mt-es-zai * source languages: es * target languages: zai * OPUS readme: [es-zai](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-zai/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-zai/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.es.zai | 20.8 | 0.426 |

Helsinki-NLP/opus-mt-et-de

2021-01-18T08:30:26.000Z

[ "pytorch", "marian", "seq2seq", "et", "de", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

42

transformers

--- tags: - translation --- ### opus-mt-et-de * source languages: et * target languages: de * OPUS readme: [et-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.et.de | 22.4 | 0.474 |

Helsinki-NLP/opus-mt-et-en

2021-01-18T08:30:30.000Z

[ "pytorch", "marian", "seq2seq", "et", "en", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

654

transformers

--- tags: - translation --- ### opus-mt-et-en * source languages: et * target languages: en * OPUS readme: [et-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2018-enet.et.en | 30.1 | 0.574 | | newstest2018-enet.et.en | 30.3 | 0.581 | | Tatoeba.et.en | 59.9 | 0.738 |

Helsinki-NLP/opus-mt-et-es

2021-01-18T08:30:35.000Z

[ "pytorch", "marian", "seq2seq", "et", "es", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

51

transformers

--- tags: - translation --- ### opus-mt-et-es * source languages: et * target languages: es * OPUS readme: [et-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.et.es | 27.2 | 0.490 |

Helsinki-NLP/opus-mt-et-fi

2021-01-18T08:30:40.000Z

[ "pytorch", "marian", "seq2seq", "et", "fi", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

29

transformers

--- tags: - translation --- ### opus-mt-et-fi * source languages: et * target languages: fi * OPUS readme: [et-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.et.fi | 26.6 | 0.546 |

Helsinki-NLP/opus-mt-et-fr

2021-01-18T08:30:45.000Z

[ "pytorch", "marian", "seq2seq", "et", "fr", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

51

transformers

--- tags: - translation --- ### opus-mt-et-fr * source languages: et * target languages: fr * OPUS readme: [et-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.et.fr | 26.2 | 0.484 |

Helsinki-NLP/opus-mt-et-ru

2021-01-18T08:30:52.000Z

[ "pytorch", "marian", "seq2seq", "et", "ru", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

32

transformers

--- language: - et - ru tags: - translation license: apache-2.0 --- ### est-rus * source group: Estonian * target group: Russian * OPUS readme: [est-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/est-rus/README.md) * model: transformer-align * source language(s): est * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.est.rus | 50.2 | 0.702 | ### System Info: - hf_name: est-rus - source_languages: est - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/est-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['et', 'ru'] - src_constituents: {'est'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/est-rus/opus-2020-06-17.test.txt - src_alpha3: est - tgt_alpha3: rus - short_pair: et-ru - chrF2_score: 0.7020000000000001 - bleu: 50.2 - brevity_penalty: 0.988 - ref_len: 3569.0 - src_name: Estonian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: et - tgt_alpha2: ru - prefer_old: False - long_pair: est-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-et-sv

2021-01-18T08:30:57.000Z

[ "pytorch", "marian", "seq2seq", "et", "sv", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

44

transformers

--- tags: - translation --- ### opus-mt-et-sv * source languages: et * target languages: sv * OPUS readme: [et-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/et-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.et.sv | 28.9 | 0.513 |

Helsinki-NLP/opus-mt-eu-de

2021-01-18T08:31:02.000Z

[ "pytorch", "marian", "seq2seq", "eu", "de", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

50

transformers

--- language: - eu - de tags: - translation license: apache-2.0 --- ### eus-deu * source group: Basque * target group: German * OPUS readme: [eus-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md) * model: transformer-align * source language(s): eus * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eus.deu | 36.3 | 0.562 | ### System Info: - hf_name: eus-deu - source_languages: eus - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'de'] - src_constituents: {'eus'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt - src_alpha3: eus - tgt_alpha3: deu - short_pair: eu-de - chrF2_score: 0.562 - bleu: 36.3 - brevity_penalty: 0.953 - ref_len: 3315.0 - src_name: Basque - tgt_name: German - train_date: 2020-06-16 - src_alpha2: eu - tgt_alpha2: de - prefer_old: False - long_pair: eus-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-eu-en

2021-01-18T08:31:07.000Z

[ "pytorch", "marian", "seq2seq", "eu", "en", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

262

transformers

--- tags: - translation --- ### opus-mt-eu-en * source languages: eu * target languages: en * OPUS readme: [eu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eu-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eu-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.eu.en | 46.1 | 0.638 |

Helsinki-NLP/opus-mt-eu-es

2021-01-18T08:31:14.000Z

[ "pytorch", "marian", "seq2seq", "eu", "es", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

89

transformers

--- language: - eu - es tags: - translation license: apache-2.0 --- ### eus-spa * source group: Basque * target group: Spanish * OPUS readme: [eus-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md) * model: transformer-align * source language(s): eus * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eus.spa | 48.8 | 0.673 | ### System Info: - hf_name: eus-spa - source_languages: eus - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'es'] - src_constituents: {'eus'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt - src_alpha3: eus - tgt_alpha3: spa - short_pair: eu-es - chrF2_score: 0.6729999999999999 - bleu: 48.8 - brevity_penalty: 0.9640000000000001 - ref_len: 12469.0 - src_name: Basque - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: eu - tgt_alpha2: es - prefer_old: False - long_pair: eus-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-eu-ru

2021-01-18T08:31:17.000Z

[ "pytorch", "marian", "seq2seq", "eu", "ru", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

27

transformers

--- language: - eu - ru tags: - translation license: apache-2.0 --- ### eus-rus * source group: Basque * target group: Russian * OPUS readme: [eus-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md) * model: transformer-align * source language(s): eus * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eus.rus | 31.3 | 0.502 | ### System Info: - hf_name: eus-rus - source_languages: eus - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eu', 'ru'] - src_constituents: {'eus'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt - src_alpha3: eus - tgt_alpha3: rus - short_pair: eu-ru - chrF2_score: 0.502 - bleu: 31.3 - brevity_penalty: 0.9420000000000001 - ref_len: 2428.0 - src_name: Basque - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: eu - tgt_alpha2: ru - prefer_old: False - long_pair: eus-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-euq-en

2021-01-18T08:31:22.000Z

[ "pytorch", "marian", "seq2seq", "euq", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

40

transformers

--- language: - euq - en tags: - translation license: apache-2.0 --- ### euq-eng * source group: Basque (family) * target group: English * OPUS readme: [euq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md) * model: transformer * source language(s): eus * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.eus.eng | 41.5 | 0.594 | | Tatoeba-test.eus-eng.eus.eng | 41.5 | 0.594 | ### System Info: - hf_name: euq-eng - source_languages: euq - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['euq', 'en'] - src_constituents: {'eus'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt - src_alpha3: euq - tgt_alpha3: eng - short_pair: euq-en - chrF2_score: 0.594 - bleu: 41.5 - brevity_penalty: 0.9640000000000001 - ref_len: 8157.0 - src_name: Basque (family) - tgt_name: English - train_date: 2020-07-26 - src_alpha2: euq - tgt_alpha2: en - prefer_old: False - long_pair: euq-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-fi-NORWAY

2021-01-18T08:31:27.000Z

[ "pytorch", "marian", "seq2seq", "fi", "no", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

34

transformers

--- tags: - translation --- ### opus-mt-fi-NORWAY * source languages: fi * target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no * OPUS readme: [fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.no | 34.2 | 0.545 |

Helsinki-NLP/opus-mt-fi-ZH

2021-01-18T08:31:32.000Z

[ "pytorch", "marian", "seq2seq", "fi", "zh", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

696

transformers

--- tags: - translation --- ### opus-mt-fi-ZH * source languages: fi * target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh * OPUS readme: [fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | bible-uedin.fi.zh | 23.4 | 0.326 |

Helsinki-NLP/opus-mt-fi-af

2021-01-18T08:31:38.000Z

[ "pytorch", "marian", "seq2seq", "fi", "af", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

49

transformers

--- tags: - translation --- ### opus-mt-fi-af * source languages: fi * target languages: af * OPUS readme: [fi-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-af/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-af/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.af | 39.3 | 0.588 |

Helsinki-NLP/opus-mt-fi-bcl

2021-01-18T08:31:43.000Z

[ "pytorch", "marian", "seq2seq", "fi", "bcl", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

44

transformers

--- tags: - translation --- ### opus-mt-fi-bcl * source languages: fi * target languages: bcl * OPUS readme: [fi-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bcl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bcl/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.bcl | 38.4 | 0.604 |

Helsinki-NLP/opus-mt-fi-bem

2021-01-18T08:31:49.000Z

[ "pytorch", "marian", "seq2seq", "fi", "bem", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

42

transformers

--- tags: - translation --- ### opus-mt-fi-bem * source languages: fi * target languages: bem * OPUS readme: [fi-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bem/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bem/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.bem | 21.4 | 0.465 |

Helsinki-NLP/opus-mt-fi-bg

2021-01-18T08:31:54.000Z

[ "pytorch", "marian", "seq2seq", "fi", "bg", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

46

transformers

--- tags: - translation --- ### opus-mt-fi-bg * source languages: fi * target languages: bg * OPUS readme: [fi-bg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bg/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.bg | 27.8 | 0.502 |

Helsinki-NLP/opus-mt-fi-bzs

2021-01-18T08:31:59.000Z

[ "pytorch", "marian", "seq2seq", "fi", "bzs", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

39

transformers

--- tags: - translation --- ### opus-mt-fi-bzs * source languages: fi * target languages: bzs * OPUS readme: [fi-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-bzs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-bzs/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.bzs | 27.2 | 0.459 |

Helsinki-NLP/opus-mt-fi-ceb

2021-01-18T08:32:05.000Z

[ "pytorch", "marian", "seq2seq", "fi", "ceb", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

28

transformers

--- tags: - translation --- ### opus-mt-fi-ceb * source languages: fi * target languages: ceb * OPUS readme: [fi-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ceb/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.ceb | 35.1 | 0.581 |

Helsinki-NLP/opus-mt-fi-crs

2021-01-18T08:32:10.000Z

[ "pytorch", "marian", "seq2seq", "fi", "crs", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

31

transformers

--- tags: - translation --- ### opus-mt-fi-crs * source languages: fi * target languages: crs * OPUS readme: [fi-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-crs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-crs/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.crs | 29.6 | 0.491 |

Helsinki-NLP/opus-mt-fi-cs

2021-01-18T08:32:15.000Z

[ "pytorch", "marian", "seq2seq", "fi", "cs", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

263

transformers

--- tags: - translation --- ### opus-mt-fi-cs * source languages: fi * target languages: cs * OPUS readme: [fi-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-cs/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cs/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.cs | 25.0 | 0.470 |

Helsinki-NLP/opus-mt-fi-de

2021-01-18T08:32:21.000Z

[ "pytorch", "marian", "seq2seq", "fi", "de", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

212

transformers

--- tags: - translation --- ### opus-mt-fi-de * source languages: fi * target languages: de * OPUS readme: [fi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.zip) * test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.test.txt) * test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fi.de | 45.2 | 0.637 |

Helsinki-NLP/opus-mt-fi-ee

2021-01-18T08:32:25.000Z

[ "pytorch", "marian", "seq2seq", "fi", "ee", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

50

transformers

--- tags: - translation --- ### opus-mt-fi-ee * source languages: fi * target languages: ee * OPUS readme: [fi-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ee/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ee/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.ee | 28.0 | 0.500 |

Helsinki-NLP/opus-mt-fi-efi

2021-01-18T08:32:31.000Z

[ "pytorch", "marian", "seq2seq", "fi", "efi", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

50

transformers

--- tags: - translation --- ### opus-mt-fi-efi * source languages: fi * target languages: efi * OPUS readme: [fi-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-efi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-efi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.efi | 26.6 | 0.482 |

Helsinki-NLP/opus-mt-fi-el

2021-01-18T08:32:36.000Z

[ "pytorch", "marian", "seq2seq", "fi", "el", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

45

transformers

--- tags: - translation --- ### opus-mt-fi-el * source languages: fi * target languages: el * OPUS readme: [fi-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-el/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-el/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.el | 27.1 | 0.490 |

Helsinki-NLP/opus-mt-fi-en

2021-01-18T08:32:43.000Z

[ "pytorch", "marian", "seq2seq", "fi", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

2,710

transformers

--- language: - fi - en tags: - translation license: apache-2.0 --- ### fin-eng * source group: Finnish * target group: English * OPUS readme: [fin-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md) * model: transformer-align * source language(s): fin * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-08-05.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip) * test set translations: [opus-2020-08-05.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt) * test set scores: [opus-2020-08-05.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2015-enfi-fineng.fin.eng | 25.3 | 0.536 | | newstest2015-enfi-fineng.fin.eng | 26.9 | 0.547 | | newstest2016-enfi-fineng.fin.eng | 29.0 | 0.571 | | newstest2017-enfi-fineng.fin.eng | 32.3 | 0.594 | | newstest2018-enfi-fineng.fin.eng | 23.8 | 0.517 | | newstest2019-fien-fineng.fin.eng | 29.0 | 0.565 | | newstestB2016-enfi-fineng.fin.eng | 24.5 | 0.527 | | newstestB2017-enfi-fineng.fin.eng | 27.4 | 0.557 | | newstestB2017-fien-fineng.fin.eng | 27.4 | 0.557 | | Tatoeba-test.fin.eng | 53.4 | 0.697 | ### System Info: - hf_name: fin-eng - source_languages: fin - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fi', 'en'] - src_constituents: {'fin'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt - src_alpha3: fin - tgt_alpha3: eng - short_pair: fi-en - chrF2_score: 0.6970000000000001 - bleu: 53.4 - brevity_penalty: 0.99 - ref_len: 74651.0 - src_name: Finnish - tgt_name: English - train_date: 2020-08-05 - src_alpha2: fi - tgt_alpha2: en - prefer_old: False - long_pair: fin-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-fi-eo

2021-01-18T08:32:48.000Z

[ "pytorch", "marian", "seq2seq", "fi", "eo", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

29

transformers

--- language: - fi - eo tags: - translation license: apache-2.0 --- ### fin-epo * source group: Finnish * target group: Esperanto * OPUS readme: [fin-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md) * model: transformer-align * source language(s): fin * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.fin.epo | 22.5 | 0.413 | ### System Info: - hf_name: fin-epo - source_languages: fin - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fi', 'eo'] - src_constituents: {'fin'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt - src_alpha3: fin - tgt_alpha3: epo - short_pair: fi-eo - chrF2_score: 0.413 - bleu: 22.5 - brevity_penalty: 0.9490000000000001 - ref_len: 18881.0 - src_name: Finnish - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: fi - tgt_alpha2: eo - prefer_old: False - long_pair: fin-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41

Helsinki-NLP/opus-mt-fi-es

2021-01-18T08:32:53.000Z

[ "pytorch", "marian", "seq2seq", "fi", "es", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

55

transformers

--- tags: - translation --- ### opus-mt-fi-es * source languages: fi * target languages: es * OPUS readme: [fi-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.zip) * test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.test.txt) * test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fi.es | 51.5 | 0.700 |

Helsinki-NLP/opus-mt-fi-et

2021-01-18T08:32:59.000Z

[ "pytorch", "marian", "seq2seq", "fi", "et", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

52

transformers

--- tags: - translation --- ### opus-mt-fi-et * source languages: fi * target languages: et * OPUS readme: [fi-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-et/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.et | 25.2 | 0.519 |

Helsinki-NLP/opus-mt-fi-fi

2021-01-18T08:33:04.000Z

[ "pytorch", "marian", "seq2seq", "fi", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

44

transformers

--- tags: - translation --- ### opus-mt-fi-fi * source languages: fi * target languages: fi * OPUS readme: [fi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fi/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fi.fi | 23.3 | 0.554 |

Helsinki-NLP/opus-mt-fi-fj

2021-01-18T08:33:09.000Z

[ "pytorch", "marian", "seq2seq", "fi", "fj", "transformers", "translation", "text2text-generation" ]

translation

[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]

Helsinki-NLP

61

transformers

--- tags: - translation --- ### opus-mt-fi-fj * source languages: fi * target languages: fj * OPUS readme: [fi-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fj/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fi.fj | 26.6 | 0.500 |