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huggingface-modelhub

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Helsinki-NLP/opus-mt-aed-es
2021-01-18T07:45:56.000Z
[ "pytorch", "marian", "seq2seq", "aed", "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
59
transformers
--- tags: - translation --- ### opus-mt-aed-es * source languages: aed * target languages: es * OPUS readme: [aed-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/aed-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/aed-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/aed-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/aed-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.aed.es | 89.1 | 0.915 |
Helsinki-NLP/opus-mt-af-de
2021-01-18T07:46:00.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
45
transformers
--- tags: - translation --- ### opus-mt-af-de * source languages: af * target languages: de * OPUS readme: [af-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-19.zip](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.zip) * test set translations: [opus-2020-01-19.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.test.txt) * test set scores: [opus-2020-01-19.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.af.de | 48.6 | 0.681 |
Helsinki-NLP/opus-mt-af-en
2021-01-18T07:46:04.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
264
transformers
--- tags: - translation --- ### opus-mt-af-en * source languages: af * target languages: en * OPUS readme: [af-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-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/af-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.af.en | 60.8 | 0.736 |
Helsinki-NLP/opus-mt-af-eo
2021-01-18T07:46:08.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
31
transformers
--- language: - af - eo tags: - translation license: apache-2.0 --- ### afr-epo * source group: Afrikaans * target group: Esperanto * OPUS readme: [afr-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-epo/README.md) * model: transformer-align * source language(s): afr * 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/afr-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-epo/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.afr.epo | 18.3 | 0.411 | ### System Info: - hf_name: afr-epo - source_languages: afr - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['af', 'eo'] - src_constituents: {'afr'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-epo/opus-2020-06-16.test.txt - src_alpha3: afr - tgt_alpha3: epo - short_pair: af-eo - chrF2_score: 0.41100000000000003 - bleu: 18.3 - brevity_penalty: 0.995 - ref_len: 7517.0 - src_name: Afrikaans - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: af - tgt_alpha2: eo - prefer_old: False - long_pair: afr-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-af-es
2021-01-18T07:46:14.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
63
transformers
--- language: - af - es tags: - translation license: apache-2.0 --- ### afr-spa * source group: Afrikaans * target group: Spanish * OPUS readme: [afr-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-spa/README.md) * model: transformer-align * source language(s): afr * 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/afr-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.afr.spa | 49.9 | 0.680 | ### System Info: - hf_name: afr-spa - source_languages: afr - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['af', 'es'] - src_constituents: {'afr'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.test.txt - src_alpha3: afr - tgt_alpha3: spa - short_pair: af-es - chrF2_score: 0.68 - bleu: 49.9 - brevity_penalty: 1.0 - ref_len: 2783.0 - src_name: Afrikaans - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: af - tgt_alpha2: es - prefer_old: False - long_pair: afr-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-af-fi
2021-01-18T07:46:19.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
32
transformers
--- tags: - translation --- ### opus-mt-af-fi * source languages: af * target languages: fi * OPUS readme: [af-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-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/af-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.af.fi | 32.3 | 0.576 |
Helsinki-NLP/opus-mt-af-fr
2021-01-18T07:46:24.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
54
transformers
--- tags: - translation --- ### opus-mt-af-fr * source languages: af * target languages: fr * OPUS readme: [af-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-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/af-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.af.fr | 35.3 | 0.543 |
Helsinki-NLP/opus-mt-af-nl
2021-01-18T07:46:27.000Z
[ "pytorch", "marian", "seq2seq", "af", "nl", "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: - af - nl tags: - translation license: apache-2.0 --- ### afr-nld * source group: Afrikaans * target group: Dutch * OPUS readme: [afr-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-nld/README.md) * model: transformer-align * source language(s): afr * target language(s): nld * 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/afr-nld/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.afr.nld | 55.2 | 0.715 | ### System Info: - hf_name: afr-nld - source_languages: afr - target_languages: nld - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-nld/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['af', 'nl'] - src_constituents: {'afr'} - tgt_constituents: {'nld'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-nld/opus-2020-06-17.test.txt - src_alpha3: afr - tgt_alpha3: nld - short_pair: af-nl - chrF2_score: 0.715 - bleu: 55.2 - brevity_penalty: 0.995 - ref_len: 6710.0 - src_name: Afrikaans - tgt_name: Dutch - train_date: 2020-06-17 - src_alpha2: af - tgt_alpha2: nl - prefer_old: False - long_pair: afr-nld - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-af-ru
2021-01-18T07:46:32.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
33
transformers
--- language: - af - ru tags: - translation license: apache-2.0 --- ### afr-rus * source group: Afrikaans * target group: Russian * OPUS readme: [afr-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-rus/README.md) * model: transformer-align * source language(s): afr * 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/afr-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.afr.rus | 38.2 | 0.580 | ### System Info: - hf_name: afr-rus - source_languages: afr - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['af', 'ru'] - src_constituents: {'afr'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-06-17.test.txt - src_alpha3: afr - tgt_alpha3: rus - short_pair: af-ru - chrF2_score: 0.58 - bleu: 38.2 - brevity_penalty: 0.992 - ref_len: 1213.0 - src_name: Afrikaans - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: af - tgt_alpha2: ru - prefer_old: False - long_pair: afr-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-af-sv
2021-01-18T07:46:36.000Z
[ "pytorch", "marian", "seq2seq", "af", "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
37
transformers
--- tags: - translation --- ### opus-mt-af-sv * source languages: af * target languages: sv * OPUS readme: [af-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-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/af-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.af.sv | 40.4 | 0.599 |
Helsinki-NLP/opus-mt-afa-afa
2021-01-18T07:46:40.000Z
[ "pytorch", "marian", "seq2seq", "so", "ti", "am", "he", "mt", "ar", "afa", "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
65
transformers
--- language: - so - ti - am - he - mt - ar - afa tags: - translation license: apache-2.0 --- ### afa-afa * source group: Afro-Asiatic languages * target group: Afro-Asiatic languages * OPUS readme: [afa-afa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-afa/README.md) * model: transformer * source language(s): apc ara arq arz heb kab mlt shy_Latn thv * target language(s): apc ara arq arz heb kab mlt shy_Latn thv * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara-ara.ara.ara | 4.3 | 0.148 | | Tatoeba-test.ara-heb.ara.heb | 31.9 | 0.525 | | Tatoeba-test.ara-kab.ara.kab | 0.3 | 0.120 | | Tatoeba-test.ara-mlt.ara.mlt | 14.0 | 0.428 | | Tatoeba-test.ara-shy.ara.shy | 1.3 | 0.050 | | Tatoeba-test.heb-ara.heb.ara | 17.0 | 0.464 | | Tatoeba-test.heb-kab.heb.kab | 1.9 | 0.104 | | Tatoeba-test.kab-ara.kab.ara | 0.3 | 0.044 | | Tatoeba-test.kab-heb.kab.heb | 5.1 | 0.099 | | Tatoeba-test.kab-shy.kab.shy | 2.2 | 0.009 | | Tatoeba-test.kab-tmh.kab.tmh | 10.7 | 0.007 | | Tatoeba-test.mlt-ara.mlt.ara | 29.1 | 0.498 | | Tatoeba-test.multi.multi | 20.8 | 0.434 | | Tatoeba-test.shy-ara.shy.ara | 1.2 | 0.053 | | Tatoeba-test.shy-kab.shy.kab | 2.0 | 0.134 | | Tatoeba-test.tmh-kab.tmh.kab | 0.0 | 0.047 | ### System Info: - hf_name: afa-afa - source_languages: afa - target_languages: afa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-afa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['so', 'ti', 'am', 'he', 'mt', 'ar', 'afa'] - src_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'} - tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.test.txt - src_alpha3: afa - tgt_alpha3: afa - short_pair: afa-afa - chrF2_score: 0.434 - bleu: 20.8 - brevity_penalty: 1.0 - ref_len: 15215.0 - src_name: Afro-Asiatic languages - tgt_name: Afro-Asiatic languages - train_date: 2020-07-26 - src_alpha2: afa - tgt_alpha2: afa - prefer_old: False - long_pair: afa-afa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-afa-en
2021-01-18T07:46:45.000Z
[ "pytorch", "marian", "seq2seq", "so", "ti", "am", "he", "mt", "ar", "afa", "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: - so - ti - am - he - mt - ar - afa - en tags: - translation license: apache-2.0 --- ### afa-eng * source group: Afro-Asiatic languages * target group: English * OPUS readme: [afa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-eng/README.md) * model: transformer * source language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.amh-eng.amh.eng | 35.9 | 0.550 | | Tatoeba-test.ara-eng.ara.eng | 36.6 | 0.543 | | Tatoeba-test.hau-eng.hau.eng | 11.9 | 0.327 | | Tatoeba-test.heb-eng.heb.eng | 42.7 | 0.591 | | Tatoeba-test.kab-eng.kab.eng | 4.3 | 0.213 | | Tatoeba-test.mlt-eng.mlt.eng | 44.3 | 0.618 | | Tatoeba-test.multi.eng | 27.1 | 0.464 | | Tatoeba-test.rif-eng.rif.eng | 3.5 | 0.141 | | Tatoeba-test.shy-eng.shy.eng | 0.6 | 0.125 | | Tatoeba-test.som-eng.som.eng | 23.6 | 0.472 | | Tatoeba-test.tir-eng.tir.eng | 13.1 | 0.328 | ### System Info: - hf_name: afa-eng - source_languages: afa - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['so', 'ti', 'am', 'he', 'mt', 'ar', 'afa', 'en'] - src_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.test.txt - src_alpha3: afa - tgt_alpha3: eng - short_pair: afa-en - chrF2_score: 0.46399999999999997 - bleu: 27.1 - brevity_penalty: 1.0 - ref_len: 69373.0 - src_name: Afro-Asiatic languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: afa - tgt_alpha2: en - prefer_old: False - long_pair: afa-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-alv-en
2021-01-18T07:46:50.000Z
[ "pytorch", "marian", "seq2seq", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "alv", "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: - sn - rw - wo - ig - sg - ee - zu - lg - ts - ln - ny - yo - rn - xh - alv - en tags: - translation license: apache-2.0 --- ### alv-eng * source group: Atlantic-Congo languages * target group: English * OPUS readme: [alv-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/alv-eng/README.md) * model: transformer * source language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ewe-eng.ewe.eng | 6.3 | 0.328 | | Tatoeba-test.ful-eng.ful.eng | 0.4 | 0.108 | | Tatoeba-test.ibo-eng.ibo.eng | 4.5 | 0.196 | | Tatoeba-test.kin-eng.kin.eng | 30.7 | 0.511 | | Tatoeba-test.lin-eng.lin.eng | 2.8 | 0.213 | | Tatoeba-test.lug-eng.lug.eng | 3.4 | 0.140 | | Tatoeba-test.multi.eng | 20.9 | 0.376 | | Tatoeba-test.nya-eng.nya.eng | 38.7 | 0.492 | | Tatoeba-test.run-eng.run.eng | 24.5 | 0.417 | | Tatoeba-test.sag-eng.sag.eng | 5.5 | 0.177 | | Tatoeba-test.sna-eng.sna.eng | 26.9 | 0.412 | | Tatoeba-test.swa-eng.swa.eng | 4.9 | 0.196 | | Tatoeba-test.toi-eng.toi.eng | 3.9 | 0.147 | | Tatoeba-test.tso-eng.tso.eng | 76.7 | 0.957 | | Tatoeba-test.umb-eng.umb.eng | 4.0 | 0.195 | | Tatoeba-test.wol-eng.wol.eng | 3.7 | 0.170 | | Tatoeba-test.xho-eng.xho.eng | 38.9 | 0.556 | | Tatoeba-test.yor-eng.yor.eng | 25.1 | 0.412 | | Tatoeba-test.zul-eng.zul.eng | 46.1 | 0.623 | ### System Info: - hf_name: alv-eng - source_languages: alv - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/alv-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv', 'en'] - src_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/alv-eng/opus2m-2020-07-31.test.txt - src_alpha3: alv - tgt_alpha3: eng - short_pair: alv-en - chrF2_score: 0.376 - bleu: 20.9 - brevity_penalty: 1.0 - ref_len: 15208.0 - src_name: Atlantic-Congo languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: alv - tgt_alpha2: en - prefer_old: False - long_pair: alv-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-am-sv
2021-01-18T07:46:55.000Z
[ "pytorch", "marian", "seq2seq", "am", "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
51
transformers
--- tags: - translation --- ### opus-mt-am-sv * source languages: am * target languages: sv * OPUS readme: [am-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/am-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/am-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/am-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/am-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.am.sv | 21.0 | 0.377 |
Helsinki-NLP/opus-mt-ar-de
2021-01-18T07:47:00.000Z
[ "pytorch", "marian", "seq2seq", "ar", "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
113
transformers
--- language: - ar - de tags: - translation license: apache-2.0 --- ### ara-deu * source group: Arabic * target group: German * OPUS readme: [ara-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-deu/README.md) * model: transformer-align * source language(s): afb apc ara ara_Latn arq arz * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.deu | 44.7 | 0.629 | ### System Info: - hf_name: ara-deu - source_languages: ara - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'de'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: deu - short_pair: ar-de - chrF2_score: 0.629 - bleu: 44.7 - brevity_penalty: 0.986 - ref_len: 8371.0 - src_name: Arabic - tgt_name: German - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: de - prefer_old: False - long_pair: ara-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-el
2021-01-18T07:47:04.000Z
[ "pytorch", "marian", "seq2seq", "ar", "el", "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: - ar - el tags: - translation license: apache-2.0 --- ### ara-ell * source group: Arabic * target group: Modern Greek (1453-) * OPUS readme: [ara-ell](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-ell/README.md) * model: transformer-align * source language(s): ara arz * target language(s): ell * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.ell | 43.9 | 0.636 | ### System Info: - hf_name: ara-ell - source_languages: ara - target_languages: ell - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-ell/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'el'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'ell'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: ell - short_pair: ar-el - chrF2_score: 0.636 - bleu: 43.9 - brevity_penalty: 0.993 - ref_len: 2009.0 - src_name: Arabic - tgt_name: Modern Greek (1453-) - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: el - prefer_old: False - long_pair: ara-ell - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-en
2021-02-28T14:25:01.000Z
[ "pytorch", "rust", "marian", "seq2seq", "ar", "en", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "rust_model.ot", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
1,989
transformers
--- tags: - translation --- ### opus-mt-ar-en * source languages: ar * target languages: en * OPUS readme: [ar-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ar-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/ar-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ar-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ar-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ar.en | 49.4 | 0.661 |
Helsinki-NLP/opus-mt-ar-eo
2021-01-18T07:47:12.000Z
[ "pytorch", "marian", "seq2seq", "ar", "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
36
transformers
--- language: - ar - eo tags: - translation license: apache-2.0 --- ### ara-epo * source group: Arabic * target group: Esperanto * OPUS readme: [ara-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-epo/README.md) * model: transformer-align * source language(s): apc apc_Latn ara arq arq_Latn arz * 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/ara-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.epo | 18.9 | 0.376 | ### System Info: - hf_name: ara-epo - source_languages: ara - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'eo'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.test.txt - src_alpha3: ara - tgt_alpha3: epo - short_pair: ar-eo - chrF2_score: 0.376 - bleu: 18.9 - brevity_penalty: 0.948 - ref_len: 4506.0 - src_name: Arabic - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: ar - tgt_alpha2: eo - prefer_old: False - long_pair: ara-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-es
2021-01-18T07:47:16.000Z
[ "pytorch", "marian", "seq2seq", "ar", "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
24
transformers
--- language: - ar - es tags: - translation license: apache-2.0 --- ### ara-spa * source group: Arabic * target group: Spanish * OPUS readme: [ara-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-spa/README.md) * model: transformer * source language(s): apc apc_Latn ara arq * target language(s): spa * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-spa/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-spa/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-spa/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.spa | 46.0 | 0.641 | ### System Info: - hf_name: ara-spa - source_languages: ara - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'es'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-spa/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-spa/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: spa - short_pair: ar-es - chrF2_score: 0.6409999999999999 - bleu: 46.0 - brevity_penalty: 0.9620000000000001 - ref_len: 9708.0 - src_name: Arabic - tgt_name: Spanish - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: es - prefer_old: False - long_pair: ara-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-fr
2021-01-18T07:47:20.000Z
[ "pytorch", "marian", "seq2seq", "ar", "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
207
transformers
--- tags: - translation --- ### opus-mt-ar-fr * source languages: ar * target languages: fr * OPUS readme: [ar-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ar-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/ar-fr/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ar-fr/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ar-fr/opus-2020-01-24.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ar.fr | 43.5 | 0.602 |
Helsinki-NLP/opus-mt-ar-he
2021-01-18T07:47:25.000Z
[ "pytorch", "marian", "seq2seq", "ar", "he", "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
25
transformers
--- language: - ar - he tags: - translation license: apache-2.0 --- ### ara-heb * source group: Arabic * target group: Hebrew * OPUS readme: [ara-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-heb/README.md) * model: transformer * source language(s): apc apc_Latn ara arq arz * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.heb | 40.4 | 0.605 | ### System Info: - hf_name: ara-heb - source_languages: ara - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'he'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'heb'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: heb - short_pair: ar-he - chrF2_score: 0.605 - bleu: 40.4 - brevity_penalty: 1.0 - ref_len: 6801.0 - src_name: Arabic - tgt_name: Hebrew - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: he - prefer_old: False - long_pair: ara-heb - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-it
2021-01-18T07:47:30.000Z
[ "pytorch", "marian", "seq2seq", "ar", "it", "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
28
transformers
--- language: - ar - it tags: - translation license: apache-2.0 --- ### ara-ita * source group: Arabic * target group: Italian * OPUS readme: [ara-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-ita/README.md) * model: transformer * source language(s): ara * target language(s): ita * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ita/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ita/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ita/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.ita | 44.2 | 0.658 | ### System Info: - hf_name: ara-ita - source_languages: ara - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'it'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ita/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ita/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: ita - short_pair: ar-it - chrF2_score: 0.6579999999999999 - bleu: 44.2 - brevity_penalty: 0.9890000000000001 - ref_len: 1495.0 - src_name: Arabic - tgt_name: Italian - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: it - prefer_old: False - long_pair: ara-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-pl
2021-01-18T07:47:35.000Z
[ "pytorch", "marian", "seq2seq", "ar", "pl", "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
28
transformers
--- language: - ar - pl tags: - translation license: apache-2.0 --- ### ara-pol * source group: Arabic * target group: Polish * OPUS readme: [ara-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-pol/README.md) * model: transformer * source language(s): ara arz * target language(s): pol * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-pol/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-pol/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-pol/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.pol | 38.0 | 0.623 | ### System Info: - hf_name: ara-pol - source_languages: ara - target_languages: pol - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-pol/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'pl'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'pol'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-pol/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-pol/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: pol - short_pair: ar-pl - chrF2_score: 0.623 - bleu: 38.0 - brevity_penalty: 0.948 - ref_len: 1171.0 - src_name: Arabic - tgt_name: Polish - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: pl - prefer_old: False - long_pair: ara-pol - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-ru
2021-01-18T07:47:44.000Z
[ "pytorch", "marian", "seq2seq", "ar", "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: - ar - ru tags: - translation license: apache-2.0 --- ### ara-rus * source group: Arabic * target group: Russian * OPUS readme: [ara-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-rus/README.md) * model: transformer * source language(s): apc ara arz * target language(s): rus * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.rus | 42.5 | 0.605 | ### System Info: - hf_name: ara-rus - source_languages: ara - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'ru'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: rus - short_pair: ar-ru - chrF2_score: 0.605 - bleu: 42.5 - brevity_penalty: 0.97 - ref_len: 21830.0 - src_name: Arabic - tgt_name: Russian - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: ru - prefer_old: False - long_pair: ara-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ar-tr
2021-01-18T07:47:51.000Z
[ "pytorch", "marian", "seq2seq", "ar", "tr", "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
34
transformers
--- language: - ar - tr tags: - translation license: apache-2.0 --- ### ara-tur * source group: Arabic * target group: Turkish * OPUS readme: [ara-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-tur/README.md) * model: transformer * source language(s): apc_Latn ara ara_Latn arq_Latn * target language(s): tur * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-tur/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-tur/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-tur/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ara.tur | 33.1 | 0.619 | ### System Info: - hf_name: ara-tur - source_languages: ara - target_languages: tur - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-tur/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ar', 'tr'] - src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - tgt_constituents: {'tur'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-tur/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-tur/opus-2020-07-03.test.txt - src_alpha3: ara - tgt_alpha3: tur - short_pair: ar-tr - chrF2_score: 0.619 - bleu: 33.1 - brevity_penalty: 0.9570000000000001 - ref_len: 6949.0 - src_name: Arabic - tgt_name: Turkish - train_date: 2020-07-03 - src_alpha2: ar - tgt_alpha2: tr - prefer_old: False - long_pair: ara-tur - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-art-en
2021-01-18T07:47:57.000Z
[ "pytorch", "marian", "seq2seq", "eo", "io", "art", "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
32
transformers
--- language: - eo - io - art - en tags: - translation license: apache-2.0 --- ### art-eng * source group: Artificial languages * target group: English * OPUS readme: [art-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/art-eng/README.md) * model: transformer * source language(s): afh_Latn avk_Latn dws_Latn epo ido ido_Latn ile_Latn ina_Latn jbo jbo_Cyrl jbo_Latn ldn_Latn lfn_Cyrl lfn_Latn nov_Latn qya qya_Latn sjn_Latn tlh_Latn tzl tzl_Latn vol_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.afh-eng.afh.eng | 1.2 | 0.099 | | Tatoeba-test.avk-eng.avk.eng | 0.4 | 0.105 | | Tatoeba-test.dws-eng.dws.eng | 1.6 | 0.076 | | Tatoeba-test.epo-eng.epo.eng | 34.6 | 0.530 | | Tatoeba-test.ido-eng.ido.eng | 12.7 | 0.310 | | Tatoeba-test.ile-eng.ile.eng | 4.6 | 0.218 | | Tatoeba-test.ina-eng.ina.eng | 5.8 | 0.254 | | Tatoeba-test.jbo-eng.jbo.eng | 0.2 | 0.115 | | Tatoeba-test.ldn-eng.ldn.eng | 0.7 | 0.083 | | Tatoeba-test.lfn-eng.lfn.eng | 1.8 | 0.172 | | Tatoeba-test.multi.eng | 11.6 | 0.287 | | Tatoeba-test.nov-eng.nov.eng | 5.1 | 0.215 | | Tatoeba-test.qya-eng.qya.eng | 0.7 | 0.113 | | Tatoeba-test.sjn-eng.sjn.eng | 0.9 | 0.090 | | Tatoeba-test.tlh-eng.tlh.eng | 0.2 | 0.124 | | Tatoeba-test.tzl-eng.tzl.eng | 1.4 | 0.109 | | Tatoeba-test.vol-eng.vol.eng | 0.5 | 0.115 | ### System Info: - hf_name: art-eng - source_languages: art - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/art-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['eo', 'io', 'art', 'en'] - src_constituents: {'sjn_Latn', 'tzl', 'vol_Latn', 'qya', 'tlh_Latn', 'ile_Latn', 'ido_Latn', 'tzl_Latn', 'jbo_Cyrl', 'jbo', 'lfn_Latn', 'nov_Latn', 'dws_Latn', 'ldn_Latn', 'avk_Latn', 'lfn_Cyrl', 'ina_Latn', 'jbo_Latn', 'epo', 'afh_Latn', 'qya_Latn', 'ido'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.test.txt - src_alpha3: art - tgt_alpha3: eng - short_pair: art-en - chrF2_score: 0.287 - bleu: 11.6 - brevity_penalty: 1.0 - ref_len: 73037.0 - src_name: Artificial languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: art - tgt_alpha2: en - prefer_old: False - long_pair: art-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ase-de
2021-01-18T07:48:04.000Z
[ "pytorch", "marian", "seq2seq", "ase", "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
65
transformers
--- tags: - translation --- ### opus-mt-ase-de * source languages: ase * target languages: de * OPUS readme: [ase-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-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/ase-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ase.de | 27.2 | 0.478 |
Helsinki-NLP/opus-mt-ase-en
2021-01-18T07:48:09.000Z
[ "pytorch", "marian", "seq2seq", "ase", "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
48
transformers
--- tags: - translation --- ### opus-mt-ase-en * source languages: ase * target languages: en * OPUS readme: [ase-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-en/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/ase-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-en/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ase.en | 99.5 | 0.997 |
Helsinki-NLP/opus-mt-ase-es
2021-01-18T07:48:16.000Z
[ "pytorch", "marian", "seq2seq", "ase", "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
41
transformers
--- tags: - translation --- ### opus-mt-ase-es * source languages: ase * target languages: es * OPUS readme: [ase-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-es/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/ase-es/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-es/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-es/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ase.es | 31.7 | 0.498 |
Helsinki-NLP/opus-mt-ase-fr
2021-01-18T07:48:22.000Z
[ "pytorch", "marian", "seq2seq", "ase", "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
29
transformers
--- tags: - translation --- ### opus-mt-ase-fr * source languages: ase * target languages: fr * OPUS readme: [ase-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-fr/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/ase-fr/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-fr/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-fr/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ase.fr | 37.8 | 0.553 |
Helsinki-NLP/opus-mt-ase-sv
2021-01-18T07:48:27.000Z
[ "pytorch", "marian", "seq2seq", "ase", "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
24
transformers
--- tags: - translation --- ### opus-mt-ase-sv * source languages: ase * target languages: sv * OPUS readme: [ase-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-sv/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/ase-sv/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-sv/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ase-sv/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ase.sv | 39.7 | 0.576 |
Helsinki-NLP/opus-mt-az-en
2021-01-18T07:48:32.000Z
[ "pytorch", "marian", "seq2seq", "az", "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
406
transformers
--- language: - az - en tags: - translation license: apache-2.0 --- ### aze-eng * source group: Azerbaijani * target group: English * OPUS readme: [aze-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-eng/README.md) * model: transformer-align * source language(s): aze_Latn * target language(s): eng * 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/aze-eng/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.aze.eng | 31.9 | 0.490 | ### System Info: - hf_name: aze-eng - source_languages: aze - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['az', 'en'] - src_constituents: {'aze_Latn'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-eng/opus-2020-06-16.test.txt - src_alpha3: aze - tgt_alpha3: eng - short_pair: az-en - chrF2_score: 0.49 - bleu: 31.9 - brevity_penalty: 0.997 - ref_len: 16165.0 - src_name: Azerbaijani - tgt_name: English - train_date: 2020-06-16 - src_alpha2: az - tgt_alpha2: en - prefer_old: False - long_pair: aze-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-az-es
2021-01-18T07:48:37.000Z
[ "pytorch", "marian", "seq2seq", "az", "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
36
transformers
--- language: - az - es tags: - translation license: apache-2.0 --- ### aze-spa * source group: Azerbaijani * target group: Spanish * OPUS readme: [aze-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-spa/README.md) * model: transformer-align * source language(s): aze_Latn * target language(s): spa * 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/aze-spa/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-spa/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-spa/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.aze.spa | 11.8 | 0.346 | ### System Info: - hf_name: aze-spa - source_languages: aze - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['az', 'es'] - src_constituents: {'aze_Latn'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-spa/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-spa/opus-2020-06-16.test.txt - src_alpha3: aze - tgt_alpha3: spa - short_pair: az-es - chrF2_score: 0.34600000000000003 - bleu: 11.8 - brevity_penalty: 1.0 - ref_len: 1144.0 - src_name: Azerbaijani - tgt_name: Spanish - train_date: 2020-06-16 - src_alpha2: az - tgt_alpha2: es - prefer_old: False - long_pair: aze-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-az-tr
2021-01-18T07:48:41.000Z
[ "pytorch", "marian", "seq2seq", "az", "tr", "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: - az - tr tags: - translation license: apache-2.0 --- ### aze-tur * source group: Azerbaijani * target group: Turkish * OPUS readme: [aze-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-tur/README.md) * model: transformer-align * source language(s): aze_Latn * target language(s): tur * 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/aze-tur/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.aze.tur | 24.4 | 0.529 | ### System Info: - hf_name: aze-tur - source_languages: aze - target_languages: tur - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-tur/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['az', 'tr'] - src_constituents: {'aze_Latn'} - tgt_constituents: {'tur'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.test.txt - src_alpha3: aze - tgt_alpha3: tur - short_pair: az-tr - chrF2_score: 0.529 - bleu: 24.4 - brevity_penalty: 0.956 - ref_len: 5380.0 - src_name: Azerbaijani - tgt_name: Turkish - train_date: 2020-06-16 - src_alpha2: az - tgt_alpha2: tr - prefer_old: False - long_pair: aze-tur - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bat-en
2021-01-18T07:48:50.000Z
[ "pytorch", "marian", "seq2seq", "lt", "lv", "bat", "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: - lt - lv - bat - en tags: - translation license: apache-2.0 --- ### bat-eng * source group: Baltic languages * target group: English * OPUS readme: [bat-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bat-eng/README.md) * model: transformer * source language(s): lav lit ltg prg_Latn sgs * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2017-enlv-laveng.lav.eng | 27.5 | 0.566 | | newsdev2019-enlt-liteng.lit.eng | 27.8 | 0.557 | | newstest2017-enlv-laveng.lav.eng | 21.1 | 0.512 | | newstest2019-lten-liteng.lit.eng | 30.2 | 0.592 | | Tatoeba-test.lav-eng.lav.eng | 51.5 | 0.687 | | Tatoeba-test.lit-eng.lit.eng | 55.1 | 0.703 | | Tatoeba-test.multi.eng | 50.6 | 0.662 | | Tatoeba-test.prg-eng.prg.eng | 1.0 | 0.159 | | Tatoeba-test.sgs-eng.sgs.eng | 16.5 | 0.265 | ### System Info: - hf_name: bat-eng - source_languages: bat - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bat-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'lv', 'bat', 'en'] - src_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.test.txt - src_alpha3: bat - tgt_alpha3: eng - short_pair: bat-en - chrF2_score: 0.662 - bleu: 50.6 - brevity_penalty: 0.9890000000000001 - ref_len: 30772.0 - src_name: Baltic languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: bat - tgt_alpha2: en - prefer_old: False - long_pair: bat-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bcl-de
2021-01-18T07:48:57.000Z
[ "pytorch", "marian", "seq2seq", "bcl", "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
54
transformers
--- tags: - translation --- ### opus-mt-bcl-de * source languages: bcl * target languages: de * OPUS readme: [bcl-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-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/bcl-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bcl.de | 30.3 | 0.510 |
Helsinki-NLP/opus-mt-bcl-en
2021-01-18T07:49:03.000Z
[ "pytorch", "marian", "seq2seq", "bcl", "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
54
transformers
--- tags: - translation --- ### opus-mt-bcl-en * source languages: bcl * target languages: en * OPUS readme: [bcl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.zip) * test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.test.txt) * test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bcl.en | 56.1 | 0.697 |
Helsinki-NLP/opus-mt-bcl-es
2021-01-18T07:49:09.000Z
[ "pytorch", "marian", "seq2seq", "bcl", "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
42
transformers
--- tags: - translation --- ### opus-mt-bcl-es * source languages: bcl * target languages: es * OPUS readme: [bcl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bcl.es | 37.0 | 0.551 |
Helsinki-NLP/opus-mt-bcl-fi
2021-01-18T07:49:15.000Z
[ "pytorch", "marian", "seq2seq", "bcl", "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
60
transformers
--- tags: - translation --- ### opus-mt-bcl-fi * source languages: bcl * target languages: fi * OPUS readme: [bcl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-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/bcl-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bcl.fi | 33.3 | 0.573 |
Helsinki-NLP/opus-mt-bcl-fr
2021-01-18T07:49:21.000Z
[ "pytorch", "marian", "seq2seq", "bcl", "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
43
transformers
--- tags: - translation --- ### opus-mt-bcl-fr * source languages: bcl * target languages: fr * OPUS readme: [bcl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-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/bcl-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bcl.fr | 35.0 | 0.527 |
Helsinki-NLP/opus-mt-bcl-sv
2021-01-18T07:49:27.000Z
[ "pytorch", "marian", "seq2seq", "bcl", "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
51
transformers
--- tags: - translation --- ### opus-mt-bcl-sv * source languages: bcl * target languages: sv * OPUS readme: [bcl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-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/bcl-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bcl.sv | 38.0 | 0.565 |
Helsinki-NLP/opus-mt-be-es
2021-01-18T07:49:34.000Z
[ "pytorch", "marian", "seq2seq", "be", "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
32
transformers
--- language: - be - es tags: - translation license: apache-2.0 --- ### bel-spa * source group: Belarusian * target group: Spanish * OPUS readme: [bel-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bel-spa/README.md) * model: transformer-align * source language(s): bel bel_Latn * target language(s): spa * 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/bel-spa/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bel.spa | 11.8 | 0.272 | ### System Info: - hf_name: bel-spa - source_languages: bel - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bel-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['be', 'es'] - src_constituents: {'bel', 'bel_Latn'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.test.txt - src_alpha3: bel - tgt_alpha3: spa - short_pair: be-es - chrF2_score: 0.272 - bleu: 11.8 - brevity_penalty: 0.892 - ref_len: 1412.0 - src_name: Belarusian - tgt_name: Spanish - train_date: 2020-06-16 - src_alpha2: be - tgt_alpha2: es - prefer_old: False - long_pair: bel-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bem-en
2021-01-18T07:49:43.000Z
[ "pytorch", "marian", "seq2seq", "bem", "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
72
transformers
--- tags: - translation --- ### opus-mt-bem-en * source languages: bem * target languages: en * OPUS readme: [bem-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-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/bem-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bem.en | 33.4 | 0.491 |
Helsinki-NLP/opus-mt-bem-es
2021-01-18T07:49:49.000Z
[ "pytorch", "marian", "seq2seq", "bem", "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
54
transformers
--- tags: - translation --- ### opus-mt-bem-es * source languages: bem * target languages: es * OPUS readme: [bem-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bem.es | 22.8 | 0.403 |
Helsinki-NLP/opus-mt-bem-fi
2021-01-18T07:49:55.000Z
[ "pytorch", "marian", "seq2seq", "bem", "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
49
transformers
--- tags: - translation --- ### opus-mt-bem-fi * source languages: bem * target languages: fi * OPUS readme: [bem-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-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/bem-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bem.fi | 22.8 | 0.439 |
Helsinki-NLP/opus-mt-bem-fr
2021-01-18T07:50:01.000Z
[ "pytorch", "marian", "seq2seq", "bem", "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
49
transformers
--- tags: - translation --- ### opus-mt-bem-fr * source languages: bem * target languages: fr * OPUS readme: [bem-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-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/bem-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bem.fr | 25.0 | 0.417 |
Helsinki-NLP/opus-mt-bem-sv
2021-01-18T07:50:06.000Z
[ "pytorch", "marian", "seq2seq", "bem", "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
35
transformers
--- tags: - translation --- ### opus-mt-bem-sv * source languages: bem * target languages: sv * OPUS readme: [bem-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-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/bem-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bem.sv | 25.6 | 0.434 |
Helsinki-NLP/opus-mt-ber-en
2021-01-18T07:50:12.000Z
[ "pytorch", "marian", "seq2seq", "ber", "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
70
transformers
--- tags: - translation --- ### opus-mt-ber-en * source languages: ber * target languages: en * OPUS readme: [ber-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ber-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/ber-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ber-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ber-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ber.en | 37.3 | 0.566 |
Helsinki-NLP/opus-mt-ber-es
2021-01-18T07:50:16.000Z
[ "pytorch", "marian", "seq2seq", "ber", "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
47
transformers
--- tags: - translation --- ### opus-mt-ber-es * source languages: ber * target languages: es * OPUS readme: [ber-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ber-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ber-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ber-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ber-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ber.es | 33.8 | 0.487 |
Helsinki-NLP/opus-mt-ber-fr
2021-01-18T07:50:20.000Z
[ "pytorch", "marian", "seq2seq", "ber", "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
43
transformers
--- tags: - translation --- ### opus-mt-ber-fr * source languages: ber * target languages: fr * OPUS readme: [ber-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ber-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/ber-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ber-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ber-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ber.fr | 60.2 | 0.754 |
Helsinki-NLP/opus-mt-bg-de
2021-01-18T07:50:26.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
29
transformers
--- language: - bg - de tags: - translation license: apache-2.0 --- ### bul-deu * source group: Bulgarian * target group: German * OPUS readme: [bul-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-deu/README.md) * model: transformer * source language(s): bul * target language(s): deu * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.deu | 49.3 | 0.676 | ### System Info: - hf_name: bul-deu - source_languages: bul - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'de'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.test.txt - src_alpha3: bul - tgt_alpha3: deu - short_pair: bg-de - chrF2_score: 0.6759999999999999 - bleu: 49.3 - brevity_penalty: 1.0 - ref_len: 2218.0 - src_name: Bulgarian - tgt_name: German - train_date: 2020-07-03 - src_alpha2: bg - tgt_alpha2: de - prefer_old: False - long_pair: bul-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bg-en
2021-01-18T07:50:31.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
460
transformers
--- tags: - translation --- ### opus-mt-bg-en * source languages: bg * target languages: en * OPUS readme: [bg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bg-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/bg-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.bg.en | 59.4 | 0.727 |
Helsinki-NLP/opus-mt-bg-eo
2021-01-18T07:50:35.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
41
transformers
--- language: - bg - eo tags: - translation license: apache-2.0 --- ### bul-epo * source group: Bulgarian * target group: Esperanto * OPUS readme: [bul-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-epo/README.md) * model: transformer-align * source language(s): bul * 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/bul-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.epo | 24.5 | 0.438 | ### System Info: - hf_name: bul-epo - source_languages: bul - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'eo'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.test.txt - src_alpha3: bul - tgt_alpha3: epo - short_pair: bg-eo - chrF2_score: 0.43799999999999994 - bleu: 24.5 - brevity_penalty: 0.9670000000000001 - ref_len: 4043.0 - src_name: Bulgarian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: bg - tgt_alpha2: eo - prefer_old: False - long_pair: bul-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bg-es
2021-01-18T07:50:42.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
62
transformers
--- language: - bg - es tags: - translation license: apache-2.0 --- ### bul-spa * source group: Bulgarian * target group: Spanish * OPUS readme: [bul-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-spa/README.md) * model: transformer * source language(s): bul * target language(s): spa * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.spa | 49.1 | 0.661 | ### System Info: - hf_name: bul-spa - source_languages: bul - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'es'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.test.txt - src_alpha3: bul - tgt_alpha3: spa - short_pair: bg-es - chrF2_score: 0.6609999999999999 - bleu: 49.1 - brevity_penalty: 0.992 - ref_len: 1783.0 - src_name: Bulgarian - tgt_name: Spanish - train_date: 2020-07-03 - src_alpha2: bg - tgt_alpha2: es - prefer_old: False - long_pair: bul-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bg-fi
2021-01-18T07:50:51.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
32
transformers
--- tags: - translation --- ### opus-mt-bg-fi * source languages: bg * target languages: fi * OPUS readme: [bg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bg-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/bg-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bg.fi | 23.7 | 0.505 |
Helsinki-NLP/opus-mt-bg-fr
2021-01-18T07:50:58.000Z
[ "pytorch", "marian", "seq2seq", "bg", "fr", "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
70
transformers
--- language: - bg - fr tags: - translation license: apache-2.0 --- ### bul-fra * source group: Bulgarian * target group: French * OPUS readme: [bul-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-fra/README.md) * model: transformer * source language(s): bul * target language(s): fra * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.fra | 53.7 | 0.693 | ### System Info: - hf_name: bul-fra - source_languages: bul - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'fr'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.test.txt - src_alpha3: bul - tgt_alpha3: fra - short_pair: bg-fr - chrF2_score: 0.693 - bleu: 53.7 - brevity_penalty: 0.977 - ref_len: 3669.0 - src_name: Bulgarian - tgt_name: French - train_date: 2020-07-03 - src_alpha2: bg - tgt_alpha2: fr - prefer_old: False - long_pair: bul-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bg-it
2021-01-18T07:51:04.000Z
[ "pytorch", "marian", "seq2seq", "bg", "it", "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
31
transformers
--- language: - bg - it tags: - translation license: apache-2.0 --- ### bul-ita * source group: Bulgarian * target group: Italian * OPUS readme: [bul-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-ita/README.md) * model: transformer * source language(s): bul * target language(s): ita * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ita/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ita/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ita/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.ita | 43.1 | 0.653 | ### System Info: - hf_name: bul-ita - source_languages: bul - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'it'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ita/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ita/opus-2020-07-03.test.txt - src_alpha3: bul - tgt_alpha3: ita - short_pair: bg-it - chrF2_score: 0.653 - bleu: 43.1 - brevity_penalty: 0.987 - ref_len: 16951.0 - src_name: Bulgarian - tgt_name: Italian - train_date: 2020-07-03 - src_alpha2: bg - tgt_alpha2: it - prefer_old: False - long_pair: bul-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bg-ru
2021-01-18T07:51:10.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
44
transformers
--- language: - bg - ru tags: - translation license: apache-2.0 --- ### bul-rus * source group: Bulgarian * target group: Russian * OPUS readme: [bul-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-rus/README.md) * model: transformer * source language(s): bul bul_Latn * target language(s): rus * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.rus | 48.5 | 0.691 | ### System Info: - hf_name: bul-rus - source_languages: bul - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'ru'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.test.txt - src_alpha3: bul - tgt_alpha3: rus - short_pair: bg-ru - chrF2_score: 0.691 - bleu: 48.5 - brevity_penalty: 1.0 - ref_len: 7870.0 - src_name: Bulgarian - tgt_name: Russian - train_date: 2020-07-03 - src_alpha2: bg - tgt_alpha2: ru - prefer_old: False - long_pair: bul-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bg-sv
2021-01-18T07:51:16.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
41
transformers
--- tags: - translation --- ### opus-mt-bg-sv * source languages: bg * target languages: sv * OPUS readme: [bg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bg-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/bg-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bg.sv | 29.1 | 0.494 |
Helsinki-NLP/opus-mt-bg-tr
2021-01-18T07:51:22.000Z
[ "pytorch", "marian", "seq2seq", "bg", "tr", "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
31
transformers
--- language: - bg - tr tags: - translation license: apache-2.0 --- ### bul-tur * source group: Bulgarian * target group: Turkish * OPUS readme: [bul-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-tur/README.md) * model: transformer * source language(s): bul bul_Latn * target language(s): tur * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-tur/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-tur/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-tur/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.tur | 40.9 | 0.687 | ### System Info: - hf_name: bul-tur - source_languages: bul - target_languages: tur - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-tur/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'tr'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'tur'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-tur/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-tur/opus-2020-07-03.test.txt - src_alpha3: bul - tgt_alpha3: tur - short_pair: bg-tr - chrF2_score: 0.687 - bleu: 40.9 - brevity_penalty: 0.946 - ref_len: 4948.0 - src_name: Bulgarian - tgt_name: Turkish - train_date: 2020-07-03 - src_alpha2: bg - tgt_alpha2: tr - prefer_old: False - long_pair: bul-tur - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bg-uk
2021-01-18T07:51:27.000Z
[ "pytorch", "marian", "seq2seq", "bg", "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
27
transformers
--- language: - bg - uk tags: - translation license: apache-2.0 --- ### bul-ukr * source group: Bulgarian * target group: Ukrainian * OPUS readme: [bul-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-ukr/README.md) * model: transformer-align * source language(s): bul * 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/bul-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bul.ukr | 49.2 | 0.683 | ### System Info: - hf_name: bul-ukr - source_languages: bul - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bg', 'uk'] - src_constituents: {'bul', 'bul_Latn'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.test.txt - src_alpha3: bul - tgt_alpha3: ukr - short_pair: bg-uk - chrF2_score: 0.6829999999999999 - bleu: 49.2 - brevity_penalty: 0.983 - ref_len: 4932.0 - src_name: Bulgarian - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: bg - tgt_alpha2: uk - prefer_old: False - long_pair: bul-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bi-en
2021-01-18T07:51:33.000Z
[ "pytorch", "marian", "seq2seq", "bi", "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
45
transformers
--- tags: - translation --- ### opus-mt-bi-en * source languages: bi * target languages: en * OPUS readme: [bi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bi-en/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/bi-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-en/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bi.en | 30.3 | 0.458 |
Helsinki-NLP/opus-mt-bi-es
2021-01-18T07:51:39.000Z
[ "pytorch", "marian", "seq2seq", "bi", "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-bi-es * source languages: bi * target languages: es * OPUS readme: [bi-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bi-es/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/bi-es/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-es/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-es/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bi.es | 21.1 | 0.388 |
Helsinki-NLP/opus-mt-bi-fr
2021-01-18T07:51:43.000Z
[ "pytorch", "marian", "seq2seq", "bi", "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
49
transformers
--- tags: - translation --- ### opus-mt-bi-fr * source languages: bi * target languages: fr * OPUS readme: [bi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bi-fr/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/bi-fr/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-fr/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-fr/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bi.fr | 21.5 | 0.382 |
Helsinki-NLP/opus-mt-bi-sv
2021-01-18T07:51:48.000Z
[ "pytorch", "marian", "seq2seq", "bi", "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
41
transformers
--- tags: - translation --- ### opus-mt-bi-sv * source languages: bi * target languages: sv * OPUS readme: [bi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bi-sv/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/bi-sv/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-sv/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-sv/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bi.sv | 22.7 | 0.403 |
Helsinki-NLP/opus-mt-bn-en
2021-01-18T07:51:55.000Z
[ "pytorch", "marian", "seq2seq", "bn", "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
315
transformers
--- language: - bn - en tags: - translation license: apache-2.0 --- ### ben-eng * source group: Bengali * target group: English * OPUS readme: [ben-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ben-eng/README.md) * model: transformer-align * source language(s): ben * target language(s): eng * 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/ben-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ben-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ben-eng/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ben.eng | 49.7 | 0.641 | ### System Info: - hf_name: ben-eng - source_languages: ben - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ben-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bn', 'en'] - src_constituents: {'ben'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ben-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ben-eng/opus-2020-06-17.test.txt - src_alpha3: ben - tgt_alpha3: eng - short_pair: bn-en - chrF2_score: 0.6409999999999999 - bleu: 49.7 - brevity_penalty: 0.976 - ref_len: 13978.0 - src_name: Bengali - tgt_name: English - train_date: 2020-06-17 - src_alpha2: bn - tgt_alpha2: en - prefer_old: False - long_pair: ben-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bnt-en
2021-01-18T07:52:00.000Z
[ "pytorch", "marian", "seq2seq", "sn", "zu", "rw", "lg", "ts", "ln", "ny", "xh", "rn", "bnt", "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
36
transformers
--- language: - sn - zu - rw - lg - ts - ln - ny - xh - rn - bnt - en tags: - translation license: apache-2.0 --- ### bnt-eng * source group: Bantu languages * target group: English * OPUS readme: [bnt-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bnt-eng/README.md) * model: transformer * source language(s): kin lin lug nya run sna swh toi_Latn tso umb xho zul * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kin-eng.kin.eng | 31.7 | 0.481 | | Tatoeba-test.lin-eng.lin.eng | 8.3 | 0.271 | | Tatoeba-test.lug-eng.lug.eng | 5.3 | 0.128 | | Tatoeba-test.multi.eng | 23.1 | 0.394 | | Tatoeba-test.nya-eng.nya.eng | 38.3 | 0.527 | | Tatoeba-test.run-eng.run.eng | 26.6 | 0.431 | | Tatoeba-test.sna-eng.sna.eng | 27.5 | 0.440 | | Tatoeba-test.swa-eng.swa.eng | 4.6 | 0.195 | | Tatoeba-test.toi-eng.toi.eng | 16.2 | 0.342 | | Tatoeba-test.tso-eng.tso.eng | 100.0 | 1.000 | | Tatoeba-test.umb-eng.umb.eng | 8.4 | 0.231 | | Tatoeba-test.xho-eng.xho.eng | 37.2 | 0.554 | | Tatoeba-test.zul-eng.zul.eng | 40.9 | 0.576 | ### System Info: - hf_name: bnt-eng - source_languages: bnt - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bnt-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt', 'en'] - src_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi_Latn', 'umb'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.test.txt - src_alpha3: bnt - tgt_alpha3: eng - short_pair: bnt-en - chrF2_score: 0.39399999999999996 - bleu: 23.1 - brevity_penalty: 1.0 - ref_len: 14565.0 - src_name: Bantu languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: bnt - tgt_alpha2: en - prefer_old: False - long_pair: bnt-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-bzs-en
2021-01-18T07:52:05.000Z
[ "pytorch", "marian", "seq2seq", "bzs", "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
60
transformers
--- tags: - translation --- ### opus-mt-bzs-en * source languages: bzs * target languages: en * OPUS readme: [bzs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-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/bzs-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bzs.en | 44.5 | 0.605 |
Helsinki-NLP/opus-mt-bzs-es
2021-01-18T07:52:16.000Z
[ "pytorch", "marian", "seq2seq", "bzs", "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-bzs-es * source languages: bzs * target languages: es * OPUS readme: [bzs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/bzs-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bzs.es | 28.1 | 0.464 |
Helsinki-NLP/opus-mt-bzs-fi
2021-01-18T07:52:23.000Z
[ "pytorch", "marian", "seq2seq", "bzs", "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-bzs-fi * source languages: bzs * target languages: fi * OPUS readme: [bzs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-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/bzs-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bzs.fi | 24.7 | 0.464 |
Helsinki-NLP/opus-mt-bzs-fr
2021-01-18T07:52:28.000Z
[ "pytorch", "marian", "seq2seq", "bzs", "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
52
transformers
--- tags: - translation --- ### opus-mt-bzs-fr * source languages: bzs * target languages: fr * OPUS readme: [bzs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-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/bzs-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bzs.fr | 30.0 | 0.479 |
Helsinki-NLP/opus-mt-bzs-sv
2021-01-18T07:52:35.000Z
[ "pytorch", "marian", "seq2seq", "bzs", "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
56
transformers
--- tags: - translation --- ### opus-mt-bzs-sv * source languages: bzs * target languages: sv * OPUS readme: [bzs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-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/bzs-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.bzs.sv | 30.7 | 0.489 |
Helsinki-NLP/opus-mt-ca-de
2021-01-18T07:52:44.000Z
[ "pytorch", "marian", "seq2seq", "ca", "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
77
transformers
--- language: - ca - de tags: - translation license: apache-2.0 --- ### cat-deu * source group: Catalan * target group: German * OPUS readme: [cat-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-deu/README.md) * model: transformer-align * source language(s): cat * 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/cat-deu/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-deu/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-deu/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.deu | 39.5 | 0.593 | ### System Info: - hf_name: cat-deu - source_languages: cat - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'de'] - src_constituents: {'cat'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-deu/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-deu/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: deu - short_pair: ca-de - chrF2_score: 0.593 - bleu: 39.5 - brevity_penalty: 1.0 - ref_len: 5643.0 - src_name: Catalan - tgt_name: German - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: de - prefer_old: False - long_pair: cat-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ca-en
2021-01-18T07:52:50.000Z
[ "pytorch", "marian", "seq2seq", "ca", "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
721
transformers
--- tags: - translation --- ### opus-mt-ca-en * source languages: ca * target languages: en * OPUS readme: [ca-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ca-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/ca-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ca-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ca-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ca.en | 51.4 | 0.678 |
Helsinki-NLP/opus-mt-ca-es
2021-01-18T07:52:56.000Z
[ "pytorch", "marian", "seq2seq", "ca", "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
114
transformers
--- tags: - translation --- ### opus-mt-ca-es * source languages: ca * target languages: es * OPUS readme: [ca-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ca-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ca-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ca-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ca-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ca.es | 74.9 | 0.863 |
Helsinki-NLP/opus-mt-ca-fr
2021-01-18T07:53:03.000Z
[ "pytorch", "marian", "seq2seq", "ca", "fr", "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
63
transformers
--- language: - ca - fr tags: - translation license: apache-2.0 --- ### cat-fra * source group: Catalan * target group: French * OPUS readme: [cat-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md) * model: transformer-align * source language(s): cat * target language(s): fra * 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/cat-fra/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.fra | 52.4 | 0.694 | ### System Info: - hf_name: cat-fra - source_languages: cat - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'fr'] - src_constituents: {'cat'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: fra - short_pair: ca-fr - chrF2_score: 0.6940000000000001 - bleu: 52.4 - brevity_penalty: 0.987 - ref_len: 5517.0 - src_name: Catalan - tgt_name: French - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: fr - prefer_old: False - long_pair: cat-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ca-it
2021-01-18T07:53:08.000Z
[ "pytorch", "marian", "seq2seq", "ca", "it", "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
43
transformers
--- language: - ca - it tags: - translation license: apache-2.0 --- ### cat-ita * source group: Catalan * target group: Italian * OPUS readme: [cat-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md) * model: transformer-align * source language(s): cat * target language(s): ita * 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/cat-ita/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.ita | 48.6 | 0.690 | ### System Info: - hf_name: cat-ita - source_languages: cat - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'it'] - src_constituents: {'cat'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: ita - short_pair: ca-it - chrF2_score: 0.69 - bleu: 48.6 - brevity_penalty: 0.985 - ref_len: 1995.0 - src_name: Catalan - tgt_name: Italian - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: it - prefer_old: False - long_pair: cat-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ca-nl
2021-01-18T07:53:12.000Z
[ "pytorch", "marian", "seq2seq", "ca", "nl", "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
35
transformers
--- language: - ca - nl tags: - translation license: apache-2.0 --- ### cat-nld * source group: Catalan * target group: Dutch * OPUS readme: [cat-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md) * model: transformer-align * source language(s): cat * target language(s): nld * 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/cat-nld/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.nld | 45.1 | 0.632 | ### System Info: - hf_name: cat-nld - source_languages: cat - target_languages: nld - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'nl'] - src_constituents: {'cat'} - tgt_constituents: {'nld'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: nld - short_pair: ca-nl - chrF2_score: 0.632 - bleu: 45.1 - brevity_penalty: 0.965 - ref_len: 4157.0 - src_name: Catalan - tgt_name: Dutch - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: nl - prefer_old: False - long_pair: cat-nld - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ca-pt
2021-01-18T07:53:17.000Z
[ "pytorch", "marian", "seq2seq", "ca", "pt", "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: - ca - pt tags: - translation license: apache-2.0 --- ### cat-por * source group: Catalan * target group: Portuguese * OPUS readme: [cat-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-por/README.md) * model: transformer-align * source language(s): cat * target language(s): por * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.por | 44.9 | 0.658 | ### System Info: - hf_name: cat-por - source_languages: cat - target_languages: por - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-por/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'pt'] - src_constituents: {'cat'} - tgt_constituents: {'por'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.test.txt - src_alpha3: cat - tgt_alpha3: por - short_pair: ca-pt - chrF2_score: 0.6579999999999999 - bleu: 44.9 - brevity_penalty: 0.953 - ref_len: 5847.0 - src_name: Catalan - tgt_name: Portuguese - train_date: 2020-06-17 - src_alpha2: ca - tgt_alpha2: pt - prefer_old: False - long_pair: cat-por - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ca-uk
2021-01-18T07:53:22.000Z
[ "pytorch", "marian", "seq2seq", "ca", "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
34
transformers
--- language: - ca - uk tags: - translation license: apache-2.0 --- ### cat-ukr * source group: Catalan * target group: Ukrainian * OPUS readme: [cat-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md) * model: transformer-align * source language(s): cat * target language(s): ukr * 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/cat-ukr/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.ukr | 28.6 | 0.503 | ### System Info: - hf_name: cat-ukr - source_languages: cat - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'uk'] - src_constituents: {'cat'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: ukr - short_pair: ca-uk - chrF2_score: 0.503 - bleu: 28.6 - brevity_penalty: 0.9670000000000001 - ref_len: 2438.0 - src_name: Catalan - tgt_name: Ukrainian - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: uk - prefer_old: False - long_pair: cat-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-cau-en
2021-01-18T07:53:27.000Z
[ "pytorch", "marian", "seq2seq", "ab", "ka", "ce", "cau", "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
31
transformers
--- language: - ab - ka - ce - cau - en tags: - translation license: apache-2.0 --- ### cau-eng * source group: Caucasian languages * target group: English * OPUS readme: [cau-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md) * model: transformer * source language(s): abk ady che kat * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.abk-eng.abk.eng | 0.3 | 0.134 | | Tatoeba-test.ady-eng.ady.eng | 0.4 | 0.104 | | Tatoeba-test.che-eng.che.eng | 0.6 | 0.128 | | Tatoeba-test.kat-eng.kat.eng | 18.6 | 0.366 | | Tatoeba-test.multi.eng | 16.6 | 0.351 | ### System Info: - hf_name: cau-eng - source_languages: cau - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ab', 'ka', 'ce', 'cau', 'en'] - src_constituents: {'abk', 'kat', 'che', 'ady'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt - src_alpha3: cau - tgt_alpha3: eng - short_pair: cau-en - chrF2_score: 0.35100000000000003 - bleu: 16.6 - brevity_penalty: 1.0 - ref_len: 6285.0 - src_name: Caucasian languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cau - tgt_alpha2: en - prefer_old: False - long_pair: cau-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ccs-en
2021-01-18T07:53:32.000Z
[ "pytorch", "marian", "seq2seq", "ka", "ccs", "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
28
transformers
--- language: - ka - ccs - en tags: - translation license: apache-2.0 --- ### ccs-eng * source group: South Caucasian languages * target group: English * OPUS readme: [ccs-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md) * model: transformer * source language(s): kat * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kat-eng.kat.eng | 18.0 | 0.357 | | Tatoeba-test.multi.eng | 18.0 | 0.357 | ### System Info: - hf_name: ccs-eng - source_languages: ccs - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ka', 'ccs', 'en'] - src_constituents: {'kat'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt - src_alpha3: ccs - tgt_alpha3: eng - short_pair: ccs-en - chrF2_score: 0.35700000000000004 - bleu: 18.0 - brevity_penalty: 1.0 - ref_len: 5992.0 - src_name: South Caucasian languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: ccs - tgt_alpha2: en - prefer_old: False - long_pair: ccs-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ceb-en
2021-01-18T07:53:40.000Z
[ "pytorch", "marian", "seq2seq", "ceb", "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
274
transformers
--- language: - ceb - en tags: - translation license: apache-2.0 --- ### ceb-eng * source group: Cebuano * target group: English * OPUS readme: [ceb-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md) * model: transformer-align * source language(s): ceb * target language(s): eng * 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/ceb-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ceb.eng | 21.5 | 0.387 | ### System Info: - hf_name: ceb-eng - source_languages: ceb - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ceb', 'en'] - src_constituents: {'ceb'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.test.txt - src_alpha3: ceb - tgt_alpha3: eng - short_pair: ceb-en - chrF2_score: 0.387 - bleu: 21.5 - brevity_penalty: 1.0 - ref_len: 2293.0 - src_name: Cebuano - tgt_name: English - train_date: 2020-06-17 - src_alpha2: ceb - tgt_alpha2: en - prefer_old: False - long_pair: ceb-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-ceb-es
2021-01-18T07:53:46.000Z
[ "pytorch", "marian", "seq2seq", "ceb", "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-ceb-es * source languages: ceb * target languages: es * OPUS readme: [ceb-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.es | 31.6 | 0.508 |
Helsinki-NLP/opus-mt-ceb-fi
2021-01-18T07:53:52.000Z
[ "pytorch", "marian", "seq2seq", "ceb", "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
40
transformers
--- tags: - translation --- ### opus-mt-ceb-fi * source languages: ceb * target languages: fi * OPUS readme: [ceb-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-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/ceb-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.fi | 27.4 | 0.525 |
Helsinki-NLP/opus-mt-ceb-fr
2021-01-18T07:53:57.000Z
[ "pytorch", "marian", "seq2seq", "ceb", "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
31
transformers
--- tags: - translation --- ### opus-mt-ceb-fr * source languages: ceb * target languages: fr * OPUS readme: [ceb-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-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/ceb-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.fr | 30.0 | 0.491 |
Helsinki-NLP/opus-mt-ceb-sv
2021-01-18T07:54:02.000Z
[ "pytorch", "marian", "seq2seq", "ceb", "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
48
transformers
--- tags: - translation --- ### opus-mt-ceb-sv * source languages: ceb * target languages: sv * OPUS readme: [ceb-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-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/ceb-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.sv | 35.5 | 0.552 |
Helsinki-NLP/opus-mt-cel-en
2021-01-18T07:54:08.000Z
[ "pytorch", "marian", "seq2seq", "gd", "ga", "br", "kw", "gv", "cy", "cel", "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
41
transformers
--- language: - gd - ga - br - kw - gv - cy - cel - en tags: - translation license: apache-2.0 --- ### cel-eng * source group: Celtic languages * target group: English * OPUS readme: [cel-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md) * model: transformer * source language(s): bre cor cym gla gle glv * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bre-eng.bre.eng | 17.2 | 0.385 | | Tatoeba-test.cor-eng.cor.eng | 3.0 | 0.172 | | Tatoeba-test.cym-eng.cym.eng | 41.5 | 0.582 | | Tatoeba-test.gla-eng.gla.eng | 15.4 | 0.330 | | Tatoeba-test.gle-eng.gle.eng | 50.8 | 0.668 | | Tatoeba-test.glv-eng.glv.eng | 11.0 | 0.297 | | Tatoeba-test.multi.eng | 22.8 | 0.398 | ### System Info: - hf_name: cel-eng - source_languages: cel - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en'] - src_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt - src_alpha3: cel - tgt_alpha3: eng - short_pair: cel-en - chrF2_score: 0.39799999999999996 - bleu: 22.8 - brevity_penalty: 1.0 - ref_len: 42097.0 - src_name: Celtic languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cel - tgt_alpha2: en - prefer_old: False - long_pair: cel-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-chk-en
2021-01-18T07:54:13.000Z
[ "pytorch", "marian", "seq2seq", "chk", "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
49
transformers
--- tags: - translation --- ### opus-mt-chk-en * source languages: chk * target languages: en * OPUS readme: [chk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-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/chk-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.en | 31.2 | 0.465 |
Helsinki-NLP/opus-mt-chk-es
2021-01-18T07:54:19.000Z
[ "pytorch", "marian", "seq2seq", "chk", "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
57
transformers
--- tags: - translation --- ### opus-mt-chk-es * source languages: chk * target languages: es * OPUS readme: [chk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.es | 20.8 | 0.374 |
Helsinki-NLP/opus-mt-chk-fr
2021-01-18T07:54:24.000Z
[ "pytorch", "marian", "seq2seq", "chk", "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
53
transformers
--- tags: - translation --- ### opus-mt-chk-fr * source languages: chk * target languages: fr * OPUS readme: [chk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-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/chk-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.fr | 22.4 | 0.387 |
Helsinki-NLP/opus-mt-chk-sv
2021-01-18T07:54:30.000Z
[ "pytorch", "marian", "seq2seq", "chk", "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
49
transformers
--- tags: - translation --- ### opus-mt-chk-sv * source languages: chk * target languages: sv * OPUS readme: [chk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-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/chk-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.sv | 23.6 | 0.406 |
Helsinki-NLP/opus-mt-cpf-en
2021-01-18T07:54:35.000Z
[ "pytorch", "marian", "seq2seq", "ht", "cpf", "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
31
transformers
--- language: - ht - cpf - en tags: - translation license: apache-2.0 --- ### cpf-eng * source group: Creoles and pidgins, French‑based * target group: English * OPUS readme: [cpf-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md) * model: transformer * source language(s): gcf_Latn hat mfe * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.gcf-eng.gcf.eng | 8.4 | 0.229 | | Tatoeba-test.hat-eng.hat.eng | 28.0 | 0.421 | | Tatoeba-test.mfe-eng.mfe.eng | 66.0 | 0.808 | | Tatoeba-test.multi.eng | 16.3 | 0.323 | ### System Info: - hf_name: cpf-eng - source_languages: cpf - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ht', 'cpf', 'en'] - src_constituents: {'gcf_Latn', 'hat', 'mfe'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt - src_alpha3: cpf - tgt_alpha3: eng - short_pair: cpf-en - chrF2_score: 0.32299999999999995 - bleu: 16.3 - brevity_penalty: 1.0 - ref_len: 990.0 - src_name: Creoles and pidgins, French‑based - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cpf - tgt_alpha2: en - prefer_old: False - long_pair: cpf-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-cpp-cpp
2021-01-18T07:54:40.000Z
[ "pytorch", "marian", "seq2seq", "id", "cpp", "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
42
transformers
--- language: - id - cpp tags: - translation license: apache-2.0 --- ### cpp-cpp * source group: Creoles and pidgins, Portuguese-based * target group: Creoles and pidgins, Portuguese-based * OPUS readme: [cpp-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md) * model: transformer * source language(s): ind pap * target language(s): ind pap * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa-msa.msa.msa | 0.7 | 0.149 | | Tatoeba-test.msa-pap.msa.pap | 31.7 | 0.577 | | Tatoeba-test.multi.multi | 21.1 | 0.369 | | Tatoeba-test.pap-msa.pap.msa | 17.7 | 0.197 | ### System Info: - hf_name: cpp-cpp - source_languages: cpp - target_languages: cpp - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['id', 'cpp'] - src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt - src_alpha3: cpp - tgt_alpha3: cpp - short_pair: cpp-cpp - chrF2_score: 0.369 - bleu: 21.1 - brevity_penalty: 0.882 - ref_len: 18.0 - src_name: Creoles and pidgins, Portuguese-based - tgt_name: Creoles and pidgins, Portuguese-based - train_date: 2020-07-26 - src_alpha2: cpp - tgt_alpha2: cpp - prefer_old: False - long_pair: cpp-cpp - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-cpp-en
2021-01-18T07:54:45.000Z
[ "pytorch", "marian", "seq2seq", "id", "cpp", "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
48
transformers
--- language: - id - cpp - en tags: - translation license: apache-2.0 --- ### cpp-eng * source group: Creoles and pidgins, Portuguese-based * target group: English * OPUS readme: [cpp-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md) * model: transformer * source language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa-eng.msa.eng | 39.6 | 0.580 | | Tatoeba-test.multi.eng | 39.7 | 0.580 | | Tatoeba-test.pap-eng.pap.eng | 49.1 | 0.579 | ### System Info: - hf_name: cpp-eng - source_languages: cpp - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['id', 'cpp', 'en'] - src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt - src_alpha3: cpp - tgt_alpha3: eng - short_pair: cpp-en - chrF2_score: 0.58 - bleu: 39.7 - brevity_penalty: 0.972 - ref_len: 37399.0 - src_name: Creoles and pidgins, Portuguese-based - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cpp - tgt_alpha2: en - prefer_old: False - long_pair: cpp-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-crs-de
2021-01-18T07:54:50.000Z
[ "pytorch", "marian", "seq2seq", "crs", "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
44
transformers
--- tags: - translation --- ### opus-mt-crs-de * source languages: crs * target languages: de * OPUS readme: [crs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.de | 20.4 | 0.397 |
Helsinki-NLP/opus-mt-crs-en
2021-01-18T07:54:56.000Z
[ "pytorch", "marian", "seq2seq", "crs", "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
52
transformers
--- tags: - translation --- ### opus-mt-crs-en * source languages: crs * target languages: en * OPUS readme: [crs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.en | 42.9 | 0.589 |
Helsinki-NLP/opus-mt-crs-es
2021-01-18T07:55:05.000Z
[ "pytorch", "marian", "seq2seq", "crs", "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
47
transformers
--- tags: - translation --- ### opus-mt-crs-es * source languages: crs * target languages: es * OPUS readme: [crs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.es | 26.1 | 0.445 |
Helsinki-NLP/opus-mt-crs-fi
2021-01-18T07:55:11.000Z
[ "pytorch", "marian", "seq2seq", "crs", "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-crs-fi * source languages: crs * target languages: fi * OPUS readme: [crs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.fi | 25.6 | 0.479 |
Helsinki-NLP/opus-mt-crs-fr
2021-01-18T07:55:17.000Z
[ "pytorch", "marian", "seq2seq", "crs", "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
52
transformers
--- tags: - translation --- ### opus-mt-crs-fr * source languages: crs * target languages: fr * OPUS readme: [crs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.fr | 29.4 | 0.475 |