modelId
stringlengths 4
112
| lastModified
stringlengths 24
24
| tags
sequence | pipeline_tag
stringclasses 21
values | files
sequence | publishedBy
stringlengths 2
37
| downloads_last_month
int32 0
9.44M
| library
stringclasses 15
values | modelCard
large_stringlengths 0
100k
|
|---|---|---|---|---|---|---|---|---|
Helsinki-NLP/opus-mt-crs-sv | 2021-01-18T07:55:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"crs",
"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 | 46 | transformers | ---
tags:
- translation
---
### opus-mt-crs-sv
* source languages: crs
* target languages: sv
* OPUS readme: [crs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.crs.sv | 29.3 | 0.480 |
|
Helsinki-NLP/opus-mt-cs-de | 2021-01-18T07:55:31.000Z | [
"pytorch",
"marian",
"seq2seq",
"cs",
"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 | 75 | transformers | ---
tags:
- translation
---
### opus-mt-cs-de
* source languages: cs
* target languages: de
* OPUS readme: [cs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.cs.de | 22.0 | 0.525 |
| news-test2008.cs.de | 21.1 | 0.520 |
| newstest2009.cs.de | 22.2 | 0.525 |
| newstest2010.cs.de | 22.1 | 0.527 |
| newstest2011.cs.de | 21.6 | 0.515 |
| newstest2012.cs.de | 22.2 | 0.516 |
| newstest2013.cs.de | 24.8 | 0.538 |
| newstest2019-csde.cs.de | 23.6 | 0.530 |
| Tatoeba.cs.de | 51.6 | 0.687 |
|
Helsinki-NLP/opus-mt-cs-en | 2021-01-18T07:55:37.000Z | [
"pytorch",
"marian",
"seq2seq",
"cs",
"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 | 1,245 | transformers | ---
tags:
- translation
---
### opus-mt-cs-en
* source languages: cs
* target languages: en
* OPUS readme: [cs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2014-csen.cs.en | 34.1 | 0.612 |
| newstest2015-encs.cs.en | 30.4 | 0.565 |
| newstest2016-encs.cs.en | 31.8 | 0.584 |
| newstest2017-encs.cs.en | 28.7 | 0.556 |
| newstest2018-encs.cs.en | 30.3 | 0.566 |
| Tatoeba.cs.en | 58.0 | 0.721 |
|
Helsinki-NLP/opus-mt-cs-eo | 2021-01-18T07:55:41.000Z | [
"pytorch",
"marian",
"seq2seq",
"cs",
"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 | 30 | transformers | ---
language:
- cs
- eo
tags:
- translation
license: apache-2.0
---
### ces-epo
* source group: Czech
* target group: Esperanto
* OPUS readme: [ces-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md)
* model: transformer-align
* source language(s): ces
* 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/ces-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ces.epo | 26.0 | 0.459 |
### System Info:
- hf_name: ces-epo
- source_languages: ces
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['cs', 'eo']
- src_constituents: {'ces'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt
- src_alpha3: ces
- tgt_alpha3: epo
- short_pair: cs-eo
- chrF2_score: 0.45899999999999996
- bleu: 26.0
- brevity_penalty: 0.94
- ref_len: 24901.0
- src_name: Czech
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: cs
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ces-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-cs-fi | 2021-01-18T07:55:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"cs",
"fi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 44 | transformers | ---
tags:
- translation
---
### opus-mt-cs-fi
* source languages: cs
* target languages: fi
* OPUS readme: [cs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.cs.fi | 25.5 | 0.523 |
|
Helsinki-NLP/opus-mt-cs-fr | 2021-01-18T07:56:00.000Z | [
"pytorch",
"marian",
"seq2seq",
"cs",
"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 | 93 | transformers | ---
tags:
- translation
---
### opus-mt-cs-fr
* source languages: cs
* target languages: fr
* OPUS readme: [cs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.cs.fr | 21.0 | 0.488 |
|
Helsinki-NLP/opus-mt-cs-sv | 2021-01-18T07:56:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"cs",
"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 | 54 | transformers | ---
tags:
- translation
---
### opus-mt-cs-sv
* source languages: cs
* target languages: sv
* OPUS readme: [cs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.cs.sv | 30.6 | 0.527 |
|
Helsinki-NLP/opus-mt-cs-uk | 2021-01-18T07:56:10.000Z | [
"pytorch",
"marian",
"seq2seq",
"cs",
"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 | 29 | transformers | ---
language:
- cs
- uk
tags:
- translation
license: apache-2.0
---
### ces-ukr
* source group: Czech
* target group: Ukrainian
* OPUS readme: [ces-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md)
* model: transformer-align
* source language(s): ces
* 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/ces-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ces.ukr | 50.9 | 0.680 |
### System Info:
- hf_name: ces-ukr
- source_languages: ces
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['cs', 'uk']
- src_constituents: {'ces'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt
- src_alpha3: ces
- tgt_alpha3: ukr
- short_pair: cs-uk
- chrF2_score: 0.68
- bleu: 50.9
- brevity_penalty: 0.9940000000000001
- ref_len: 8891.0
- src_name: Czech
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: cs
- tgt_alpha2: uk
- prefer_old: False
- long_pair: ces-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-csg-es | 2021-01-18T07:56:14.000Z | [
"pytorch",
"marian",
"seq2seq",
"csg",
"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 | 37 | transformers | ---
tags:
- translation
---
### opus-mt-csg-es
* source languages: csg
* target languages: es
* OPUS readme: [csg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csg-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/csg-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.csg.es | 93.1 | 0.952 |
|
Helsinki-NLP/opus-mt-csn-es | 2021-01-18T07:56:20.000Z | [
"pytorch",
"marian",
"seq2seq",
"csn",
"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 | 52 | transformers | ---
tags:
- translation
---
### opus-mt-csn-es
* source languages: csn
* target languages: es
* OPUS readme: [csn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csn-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/csn-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.csn.es | 87.4 | 0.899 |
|
Helsinki-NLP/opus-mt-cus-en | 2021-01-18T07:56:25.000Z | [
"pytorch",
"marian",
"seq2seq",
"so",
"cus",
"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 | 38 | transformers | ---
language:
- so
- cus
- en
tags:
- translation
license: apache-2.0
---
### cus-eng
* source group: Cushitic languages
* target group: English
* OPUS readme: [cus-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md)
* model: transformer
* source language(s): som
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.multi.eng | 16.2 | 0.303 |
| Tatoeba-test.som-eng.som.eng | 16.2 | 0.303 |
### System Info:
- hf_name: cus-eng
- source_languages: cus
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['so', 'cus', 'en']
- src_constituents: {'som'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt
- src_alpha3: cus
- tgt_alpha3: eng
- short_pair: cus-en
- chrF2_score: 0.303
- bleu: 16.2
- brevity_penalty: 1.0
- ref_len: 3.0
- src_name: Cushitic languages
- tgt_name: English
- train_date: 2020-07-26
- src_alpha2: cus
- tgt_alpha2: en
- prefer_old: False
- long_pair: cus-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-cy-en | 2021-01-18T07:56:31.000Z | [
"pytorch",
"marian",
"seq2seq",
"cy",
"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 | 208 | transformers | ---
tags:
- translation
---
### opus-mt-cy-en
* source languages: cy
* target languages: en
* OPUS readme: [cy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cy-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/cy-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.cy.en | 33.0 | 0.525 |
|
Helsinki-NLP/opus-mt-da-de | 2021-01-18T07:56:38.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"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 | 73 | transformers | ---
tags:
- translation
---
### opus-mt-da-de
* source languages: da
* target languages: de
* OPUS readme: [da-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.de | 57.4 | 0.740 |
|
Helsinki-NLP/opus-mt-da-en | 2021-01-18T07:56:45.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"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 | 4,574 | transformers | ---
tags:
- translation
---
### opus-mt-da-en
* source languages: da
* target languages: en
* OPUS readme: [da-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-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/da-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.en | 63.6 | 0.769 |
|
Helsinki-NLP/opus-mt-da-eo | 2021-01-18T07:56:49.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"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 | 25 | transformers | ---
language:
- da
- eo
tags:
- translation
license: apache-2.0
---
### dan-epo
* source group: Danish
* target group: Esperanto
* OPUS readme: [dan-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-epo/README.md)
* model: transformer-align
* source language(s): dan
* 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/dan-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan.epo | 23.6 | 0.432 |
### System Info:
- hf_name: dan-epo
- source_languages: dan
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'eo']
- src_constituents: {'dan'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.test.txt
- src_alpha3: dan
- tgt_alpha3: epo
- short_pair: da-eo
- chrF2_score: 0.43200000000000005
- bleu: 23.6
- brevity_penalty: 0.9420000000000001
- ref_len: 69856.0
- src_name: Danish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: da
- tgt_alpha2: eo
- prefer_old: False
- long_pair: dan-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-da-es | 2021-01-18T07:56:55.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"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 | 186 | transformers | ---
tags:
- translation
---
### opus-mt-da-es
* source languages: da
* target languages: es
* OPUS readme: [da-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-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/da-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.es | 53.7 | 0.715 |
|
Helsinki-NLP/opus-mt-da-fi | 2021-01-18T07:57:01.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"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 | 56 | transformers | ---
tags:
- translation
---
### opus-mt-da-fi
* source languages: da
* target languages: fi
* OPUS readme: [da-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-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/da-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.fi | 39.0 | 0.629 |
|
Helsinki-NLP/opus-mt-da-fr | 2021-01-18T07:57:06.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"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 | 83 | transformers | ---
tags:
- translation
---
### opus-mt-da-fr
* source languages: da
* target languages: fr
* OPUS readme: [da-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-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/da-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.fr | 62.2 | 0.751 |
|
Helsinki-NLP/opus-mt-da-no | 2021-01-18T07:57:11.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"no",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 25 | transformers | ---
language:
- da
- no
tags:
- translation
license: apache-2.0
---
### dan-nor
* source group: Danish
* target group: Norwegian
* OPUS readme: [dan-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md)
* model: transformer-align
* source language(s): dan
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan.nor | 66.4 | 0.801 |
### System Info:
- hf_name: dan-nor
- source_languages: dan
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'no']
- src_constituents: {'dan'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt
- src_alpha3: dan
- tgt_alpha3: nor
- short_pair: da-no
- chrF2_score: 0.8009999999999999
- bleu: 66.4
- brevity_penalty: 0.996
- ref_len: 9691.0
- src_name: Danish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: da
- tgt_alpha2: no
- prefer_old: False
- long_pair: dan-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-da-ru | 2021-01-18T07:57:17.000Z | [
"pytorch",
"marian",
"seq2seq",
"da",
"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 | 72 | transformers | ---
language:
- da
- ru
tags:
- translation
license: apache-2.0
---
### dan-rus
* source group: Danish
* target group: Russian
* OPUS readme: [dan-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md)
* model: transformer-align
* source language(s): dan
* 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/dan-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan.rus | 52.5 | 0.715 |
### System Info:
- hf_name: dan-rus
- source_languages: dan
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'ru']
- src_constituents: {'dan'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.test.txt
- src_alpha3: dan
- tgt_alpha3: rus
- short_pair: da-ru
- chrF2_score: 0.715
- bleu: 52.5
- brevity_penalty: 0.991
- ref_len: 10480.0
- src_name: Danish
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: da
- tgt_alpha2: ru
- prefer_old: False
- long_pair: dan-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-ZH | 2021-01-18T07:57:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"zh",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 849 | transformers | ---
tags:
- translation
---
### opus-mt-de-ZH
* source languages: de
* target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh
* OPUS readme: [de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| bible-uedin.de.zh | 24.4 | 0.335 |
|
Helsinki-NLP/opus-mt-de-af | 2021-01-18T07:57:33.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"af",
"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:
- de
- af
tags:
- translation
license: apache-2.0
---
### deu-afr
* source group: German
* target group: Afrikaans
* OPUS readme: [deu-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): afr
* 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/deu-afr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.afr | 51.3 | 0.690 |
### System Info:
- hf_name: deu-afr
- source_languages: deu
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'af']
- src_constituents: {'deu'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: afr
- short_pair: de-af
- chrF2_score: 0.69
- bleu: 51.3
- brevity_penalty: 1.0
- ref_len: 9507.0
- src_name: German
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: af
- prefer_old: False
- long_pair: deu-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-ar | 2021-01-18T07:57:38.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ar",
"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:
- de
- ar
tags:
- translation
license: apache-2.0
---
### deu-ara
* source group: German
* target group: Arabic
* OPUS readme: [deu-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): afb apc ara ara_Latn arq arz
* model: transformer-align
* 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-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.ara | 19.7 | 0.486 |
### System Info:
- hf_name: deu-ara
- source_languages: deu
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'ar']
- src_constituents: {'deu'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt
- src_alpha3: deu
- tgt_alpha3: ara
- short_pair: de-ar
- chrF2_score: 0.486
- bleu: 19.7
- brevity_penalty: 0.993
- ref_len: 6324.0
- src_name: German
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: de
- tgt_alpha2: ar
- prefer_old: False
- long_pair: deu-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-ase | 2021-01-18T07:57:44.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ase",
"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-de-ase
* source languages: de
* target languages: ase
* OPUS readme: [de-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ase/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/de-ase/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ase/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ase/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ase | 30.4 | 0.483 |
|
Helsinki-NLP/opus-mt-de-bcl | 2021-01-18T07:57:49.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"bcl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 44 | transformers | ---
tags:
- translation
---
### opus-mt-de-bcl
* source languages: de
* target languages: bcl
* OPUS readme: [de-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bcl/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/de-bcl/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bcl/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bcl/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.bcl | 34.6 | 0.563 |
|
Helsinki-NLP/opus-mt-de-bg | 2021-01-18T07:57:54.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"bg",
"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:
- de
- bg
tags:
- translation
license: apache-2.0
---
### deu-bul
* source group: German
* target group: Bulgarian
* OPUS readme: [deu-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-bul/README.md)
* model: transformer
* source language(s): deu
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.bul | 50.7 | 0.683 |
### System Info:
- hf_name: deu-bul
- source_languages: deu
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'bg']
- src_constituents: {'deu'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.test.txt
- src_alpha3: deu
- tgt_alpha3: bul
- short_pair: de-bg
- chrF2_score: 0.6829999999999999
- bleu: 50.7
- brevity_penalty: 0.98
- ref_len: 2032.0
- src_name: German
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: de
- tgt_alpha2: bg
- prefer_old: False
- long_pair: deu-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-bi | 2021-01-18T07:57:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"bi",
"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-de-bi
* source languages: de
* target languages: bi
* OPUS readme: [de-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bi/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/de-bi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.bi | 25.7 | 0.450 |
|
Helsinki-NLP/opus-mt-de-bzs | 2021-01-18T07:58:04.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"bzs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
tags:
- translation
---
### opus-mt-de-bzs
* source languages: de
* target languages: bzs
* OPUS readme: [de-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bzs/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/de-bzs/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bzs/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bzs/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.bzs | 21.0 | 0.389 |
|
Helsinki-NLP/opus-mt-de-ca | 2021-01-18T07:58:09.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ca",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 53 | transformers | ---
language:
- de
- ca
tags:
- translation
license: apache-2.0
---
### deu-cat
* source group: German
* target group: Catalan
* OPUS readme: [deu-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): cat
* 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/deu-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.cat | 37.4 | 0.582 |
### System Info:
- hf_name: deu-cat
- source_languages: deu
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'ca']
- src_constituents: {'deu'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt
- src_alpha3: deu
- tgt_alpha3: cat
- short_pair: de-ca
- chrF2_score: 0.5820000000000001
- bleu: 37.4
- brevity_penalty: 0.956
- ref_len: 5507.0
- src_name: German
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: de
- tgt_alpha2: ca
- prefer_old: False
- long_pair: deu-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-crs | 2021-01-18T07:58:14.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"crs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 45 | transformers | ---
tags:
- translation
---
### opus-mt-de-crs
* source languages: de
* target languages: crs
* OPUS readme: [de-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-crs/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/de-crs/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-crs/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-crs/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.crs | 24.1 | 0.429 |
|
Helsinki-NLP/opus-mt-de-cs | 2021-01-18T07:58:19.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"cs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 113 | transformers | ---
tags:
- translation
---
### opus-mt-de-cs
* source languages: de
* target languages: cs
* OPUS readme: [de-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cs/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/de-cs/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.de.cs | 22.4 | 0.499 |
| news-test2008.de.cs | 20.2 | 0.487 |
| newstest2009.de.cs | 20.9 | 0.485 |
| newstest2010.de.cs | 22.7 | 0.510 |
| newstest2011.de.cs | 21.2 | 0.487 |
| newstest2012.de.cs | 20.9 | 0.479 |
| newstest2013.de.cs | 23.0 | 0.500 |
| newstest2019-decs.de.cs | 22.5 | 0.495 |
| Tatoeba.de.cs | 42.2 | 0.625 |
|
Helsinki-NLP/opus-mt-de-da | 2021-01-18T07:58:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"da",
"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-de-da
* source languages: de
* target languages: da
* OPUS readme: [de-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.zip)
* test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.test.txt)
* test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.da | 57.2 | 0.730 |
|
Helsinki-NLP/opus-mt-de-de | 2021-01-18T07:58:28.000Z | [
"pytorch",
"marian",
"seq2seq",
"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 | 84 | transformers | ---
tags:
- translation
---
### opus-mt-de-de
* source languages: de
* target languages: de
* OPUS readme: [de-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.de | 40.7 | 0.616 |
|
Helsinki-NLP/opus-mt-de-ee | 2021-01-18T07:58:33.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ee",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 27 | transformers | ---
tags:
- translation
---
### opus-mt-de-ee
* source languages: de
* target languages: ee
* OPUS readme: [de-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ee | 24.6 | 0.463 |
|
Helsinki-NLP/opus-mt-de-efi | 2021-01-18T07:58:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"efi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 62 | transformers | ---
tags:
- translation
---
### opus-mt-de-efi
* source languages: de
* target languages: efi
* OPUS readme: [de-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-efi/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/de-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.efi | 24.2 | 0.451 |
|
Helsinki-NLP/opus-mt-de-el | 2021-01-18T07:58:44.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"el",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
tags:
- translation
---
### opus-mt-de-el
* source languages: de
* target languages: el
* OPUS readme: [de-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-el/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/de-el/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-el/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-el/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.el | 45.7 | 0.649 |
|
Helsinki-NLP/opus-mt-de-en | 2021-01-18T07:58:49.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"de",
"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 | 40,982 | transformers | ---
tags:
- translation
---
### opus-mt-de-en
* source languages: de
* target languages: en
* OPUS readme: [de-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.de.en | 29.4 | 0.557 |
| news-test2008.de.en | 27.8 | 0.548 |
| newstest2009.de.en | 26.8 | 0.543 |
| newstest2010.de.en | 30.2 | 0.584 |
| newstest2011.de.en | 27.4 | 0.556 |
| newstest2012.de.en | 29.1 | 0.569 |
| newstest2013.de.en | 32.1 | 0.583 |
| newstest2014-deen.de.en | 34.0 | 0.600 |
| newstest2015-ende.de.en | 34.2 | 0.599 |
| newstest2016-ende.de.en | 40.4 | 0.649 |
| newstest2017-ende.de.en | 35.7 | 0.610 |
| newstest2018-ende.de.en | 43.7 | 0.667 |
| newstest2019-deen.de.en | 40.1 | 0.642 |
| Tatoeba.de.en | 55.4 | 0.707 |
|
Helsinki-NLP/opus-mt-de-eo | 2021-01-18T07:58:54.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"eo",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 30 | transformers | ---
tags:
- translation
---
### opus-mt-de-eo
* source languages: de
* target languages: eo
* OPUS readme: [de-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-eo/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/de-eo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.eo | 48.6 | 0.673 |
|
Helsinki-NLP/opus-mt-de-es | 2021-01-18T07:59:00.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"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 | 106 | transformers | ---
tags:
- translation
---
### opus-mt-de-es
* source languages: de
* target languages: es
* OPUS readme: [de-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.es | 48.5 | 0.676 |
|
Helsinki-NLP/opus-mt-de-et | 2021-01-18T07:59:06.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"et",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 46 | transformers | ---
tags:
- translation
---
### opus-mt-de-et
* source languages: de
* target languages: et
* OPUS readme: [de-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-et/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/de-et/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-et/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-et/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.et | 20.2 | 0.465 |
|
Helsinki-NLP/opus-mt-de-eu | 2021-01-18T07:59:10.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"eu",
"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:
- de
- eu
tags:
- translation
license: apache-2.0
---
### deu-eus
* source group: German
* target group: Basque
* OPUS readme: [deu-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-eus/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): eus
* 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/deu-eus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.eus | 31.8 | 0.574 |
### System Info:
- hf_name: deu-eus
- source_languages: deu
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'eu']
- src_constituents: {'deu'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.test.txt
- src_alpha3: deu
- tgt_alpha3: eus
- short_pair: de-eu
- chrF2_score: 0.574
- bleu: 31.8
- brevity_penalty: 0.9209999999999999
- ref_len: 2829.0
- src_name: German
- tgt_name: Basque
- train_date: 2020-06-16
- src_alpha2: de
- tgt_alpha2: eu
- prefer_old: False
- long_pair: deu-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-fi | 2021-01-18T07:59:16.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"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 | 74 | transformers | ---
tags:
- translation
---
### opus-mt-de-fi
* source languages: de
* target languages: fi
* OPUS readme: [de-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.fi | 40.0 | 0.628 |
|
Helsinki-NLP/opus-mt-de-fj | 2021-01-18T07:59:22.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"fj",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 42 | transformers | ---
tags:
- translation
---
### opus-mt-de-fj
* source languages: de
* target languages: fj
* OPUS readme: [de-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.fj | 24.6 | 0.470 |
|
Helsinki-NLP/opus-mt-de-fr | 2021-01-18T07:59:28.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"de",
"fr",
"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 | 817 | transformers | ---
tags:
- translation
---
### opus-mt-de-fr
* source languages: de
* target languages: fr
* OPUS readme: [de-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.de | 32.2 | 0.590 |
| newssyscomb2009.de.fr | 26.8 | 0.553 |
| news-test2008.de.fr | 26.4 | 0.548 |
| newstest2009.de.fr | 25.6 | 0.539 |
| newstest2010.de.fr | 29.1 | 0.572 |
| newstest2011.de.fr | 26.9 | 0.551 |
| newstest2012.de.fr | 27.7 | 0.554 |
| newstest2013.de.fr | 29.5 | 0.560 |
| newstest2019-defr.de.fr | 36.6 | 0.625 |
| Tatoeba.de.fr | 49.2 | 0.664 |
|
Helsinki-NLP/opus-mt-de-gaa | 2021-01-18T07:59:34.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"gaa",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 47 | transformers | ---
tags:
- translation
---
### opus-mt-de-gaa
* source languages: de
* target languages: gaa
* OPUS readme: [de-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-gaa/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/de-gaa/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gaa/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gaa/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.gaa | 26.3 | 0.471 |
|
Helsinki-NLP/opus-mt-de-gil | 2021-01-18T07:59:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"gil",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 47 | transformers | ---
tags:
- translation
---
### opus-mt-de-gil
* source languages: de
* target languages: gil
* OPUS readme: [de-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-gil/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/de-gil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.gil | 24.0 | 0.472 |
|
Helsinki-NLP/opus-mt-de-guw | 2021-01-18T07:59:49.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"guw",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 47 | transformers | ---
tags:
- translation
---
### opus-mt-de-guw
* source languages: de
* target languages: guw
* OPUS readme: [de-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-guw/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/de-guw/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-guw/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-guw/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.guw | 27.1 | 0.472 |
|
Helsinki-NLP/opus-mt-de-ha | 2021-01-18T07:59:55.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ha",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
tags:
- translation
---
### opus-mt-de-ha
* source languages: de
* target languages: ha
* OPUS readme: [de-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ha/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/de-ha/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ha | 20.7 | 0.417 |
|
Helsinki-NLP/opus-mt-de-he | 2021-01-18T08:00:01.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"he",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 61 | transformers | ---
tags:
- translation
---
### opus-mt-de-he
* source languages: de
* target languages: he
* OPUS readme: [de-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-he/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.zip)
* test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.test.txt)
* test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.he | 36.6 | 0.581 |
|
Helsinki-NLP/opus-mt-de-hil | 2021-01-18T08:00:08.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"hil",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 65 | transformers | ---
tags:
- translation
---
### opus-mt-de-hil
* source languages: de
* target languages: hil
* OPUS readme: [de-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.hil | 33.9 | 0.563 |
|
Helsinki-NLP/opus-mt-de-ho | 2021-01-18T08:00:13.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ho",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 37 | transformers | ---
tags:
- translation
---
### opus-mt-de-ho
* source languages: de
* target languages: ho
* OPUS readme: [de-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ho/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/de-ho/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ho | 22.6 | 0.461 |
|
Helsinki-NLP/opus-mt-de-hr | 2021-01-18T08:00:20.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"hr",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 51 | transformers | ---
tags:
- translation
---
### opus-mt-de-hr
* source languages: de
* target languages: hr
* OPUS readme: [de-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.hr | 42.6 | 0.643 |
|
Helsinki-NLP/opus-mt-de-ht | 2021-01-18T08:00:27.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ht",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 34 | transformers | ---
tags:
- translation
---
### opus-mt-de-ht
* source languages: de
* target languages: ht
* OPUS readme: [de-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ht/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/de-ht/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ht | 21.8 | 0.390 |
|
Helsinki-NLP/opus-mt-de-hu | 2021-01-18T08:00:33.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"hu",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 102 | transformers | ---
tags:
- translation
---
### opus-mt-de-hu
* source languages: de
* target languages: hu
* OPUS readme: [de-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hu/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/de-hu/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hu/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hu/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.hu | 34.3 | 0.588 |
|
Helsinki-NLP/opus-mt-de-ig | 2021-01-18T08:00:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ig",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 55 | transformers | ---
tags:
- translation
---
### opus-mt-de-ig
* source languages: de
* target languages: ig
* OPUS readme: [de-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ig/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/de-ig/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ig | 25.3 | 0.422 |
|
Helsinki-NLP/opus-mt-de-ilo | 2021-01-18T08:00:45.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ilo",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 53 | transformers | ---
tags:
- translation
---
### opus-mt-de-ilo
* source languages: de
* target languages: ilo
* OPUS readme: [de-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ilo/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/de-ilo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ilo | 29.8 | 0.533 |
|
Helsinki-NLP/opus-mt-de-is | 2021-01-18T08:00:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"is",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 81 | transformers | ---
language:
- de
- is
tags:
- translation
license: apache-2.0
---
### deu-isl
* source group: German
* target group: Icelandic
* OPUS readme: [deu-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): isl
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.isl | 27.1 | 0.533 |
### System Info:
- hf_name: deu-isl
- source_languages: deu
- target_languages: isl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'is']
- src_constituents: {'deu'}
- tgt_constituents: {'isl'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: isl
- short_pair: de-is
- chrF2_score: 0.5329999999999999
- bleu: 27.1
- brevity_penalty: 0.9620000000000001
- ref_len: 5939.0
- src_name: German
- tgt_name: Icelandic
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: is
- prefer_old: False
- long_pair: deu-isl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-iso | 2021-01-18T08:00:56.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"iso",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 45 | transformers | ---
tags:
- translation
---
### opus-mt-de-iso
* source languages: de
* target languages: iso
* OPUS readme: [de-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-iso/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/de-iso/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-iso/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-iso/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.iso | 21.4 | 0.389 |
|
Helsinki-NLP/opus-mt-de-it | 2021-01-18T08:01:02.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"it",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 121 | transformers | ---
tags:
- translation
---
### opus-mt-de-it
* source languages: de
* target languages: it
* OPUS readme: [de-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-it/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/de-it/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.it | 45.3 | 0.671 |
|
Helsinki-NLP/opus-mt-de-kg | 2021-01-18T08:01:07.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"kg",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 48 | transformers | ---
tags:
- translation
---
### opus-mt-de-kg
* source languages: de
* target languages: kg
* OPUS readme: [de-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-kg/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/de-kg/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.kg | 24.4 | 0.474 |
|
Helsinki-NLP/opus-mt-de-ln | 2021-01-18T08:01:12.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ln",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 30 | transformers | ---
tags:
- translation
---
### opus-mt-de-ln
* source languages: de
* target languages: ln
* OPUS readme: [de-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ln/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/de-ln/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ln | 26.7 | 0.504 |
|
Helsinki-NLP/opus-mt-de-loz | 2021-01-18T08:01:18.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"loz",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 52 | transformers | ---
tags:
- translation
---
### opus-mt-de-loz
* source languages: de
* target languages: loz
* OPUS readme: [de-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-loz/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/de-loz/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-loz/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-loz/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.loz | 27.7 | 0.480 |
|
Helsinki-NLP/opus-mt-de-lt | 2021-01-18T08:01:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"lt",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 38 | transformers | ---
tags:
- translation
---
### opus-mt-de-lt
* source languages: de
* target languages: lt
* OPUS readme: [de-lt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-lt/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/de-lt/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lt/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lt/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.lt | 37.9 | 0.633 |
|
Helsinki-NLP/opus-mt-de-lua | 2021-01-18T08:01:30.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"lua",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 48 | transformers | ---
tags:
- translation
---
### opus-mt-de-lua
* source languages: de
* target languages: lua
* OPUS readme: [de-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-lua/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/de-lua/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.lua | 23.1 | 0.467 |
|
Helsinki-NLP/opus-mt-de-ms | 2021-01-18T08:01:36.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ms",
"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:
- de
- ms
tags:
- translation
license: apache-2.0
---
### deu-msa
* source group: German
* target group: Malay (macrolanguage)
* OPUS readme: [deu-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-msa/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): ind zsm_Latn
* model: transformer-align
* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.msa | 34.0 | 0.607 |
### System Info:
- hf_name: deu-msa
- source_languages: deu
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'ms']
- src_constituents: {'deu'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: msa
- short_pair: de-ms
- chrF2_score: 0.607
- bleu: 34.0
- brevity_penalty: 0.9540000000000001
- ref_len: 3729.0
- src_name: German
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: ms
- prefer_old: False
- long_pair: deu-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-mt | 2021-01-18T08:01:41.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"mt",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
tags:
- translation
---
### opus-mt-de-mt
* source languages: de
* target languages: mt
* OPUS readme: [de-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-mt/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/de-mt/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-mt/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-mt/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.mt | 25.0 | 0.436 |
|
Helsinki-NLP/opus-mt-de-niu | 2021-01-18T08:01:47.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"niu",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 33 | transformers | ---
tags:
- translation
---
### opus-mt-de-niu
* source languages: de
* target languages: niu
* OPUS readme: [de-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-niu/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/de-niu/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-niu/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-niu/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.niu | 28.4 | 0.496 |
|
Helsinki-NLP/opus-mt-de-nl | 2021-01-18T08:01:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"nl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 64 | transformers | ---
tags:
- translation
---
### opus-mt-de-nl
* source languages: de
* target languages: nl
* OPUS readme: [de-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-nl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.nl | 52.8 | 0.699 |
|
Helsinki-NLP/opus-mt-de-no | 2021-01-18T08:01:55.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"no",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 27 | transformers | ---
language:
- de
- no
tags:
- translation
license: apache-2.0
---
### deu-nor
* source group: German
* target group: Norwegian
* OPUS readme: [deu-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.nor | 33.2 | 0.554 |
### System Info:
- hf_name: deu-nor
- source_languages: deu
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'no']
- src_constituents: {'deu'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: nor
- short_pair: de-no
- chrF2_score: 0.5539999999999999
- bleu: 33.2
- brevity_penalty: 0.956
- ref_len: 32928.0
- src_name: German
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: no
- prefer_old: False
- long_pair: deu-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-nso | 2021-01-18T08:02:01.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"nso",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 33 | transformers | ---
tags:
- translation
---
### opus-mt-de-nso
* source languages: de
* target languages: nso
* OPUS readme: [de-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-nso/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/de-nso/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nso/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nso/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.nso | 31.1 | 0.519 |
|
Helsinki-NLP/opus-mt-de-ny | 2021-01-18T08:02:07.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"ny",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 47 | transformers | ---
tags:
- translation
---
### opus-mt-de-ny
* source languages: de
* target languages: ny
* OPUS readme: [de-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ny/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/de-ny/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ny/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ny/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ny | 21.4 | 0.481 |
|
Helsinki-NLP/opus-mt-de-pag | 2021-01-18T08:02:12.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"pag",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 45 | transformers | ---
tags:
- translation
---
### opus-mt-de-pag
* source languages: de
* target languages: pag
* OPUS readme: [de-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pag/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/de-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.pag | 24.3 | 0.469 |
|
Helsinki-NLP/opus-mt-de-pap | 2021-01-18T08:02:18.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"pap",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 42 | transformers | ---
tags:
- translation
---
### opus-mt-de-pap
* source languages: de
* target languages: pap
* OPUS readme: [de-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pap/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/de-pap/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pap/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pap/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.pap | 25.6 | 0.453 |
|
Helsinki-NLP/opus-mt-de-pis | 2021-01-18T08:02:23.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"pis",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 34 | transformers | ---
tags:
- translation
---
### opus-mt-de-pis
* source languages: de
* target languages: pis
* OPUS readme: [de-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pis/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/de-pis/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.pis | 26.0 | 0.470 |
|
Helsinki-NLP/opus-mt-de-pl | 2021-01-18T08:02:29.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"pl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 74 | transformers | ---
tags:
- translation
---
### opus-mt-de-pl
* source languages: de
* target languages: pl
* OPUS readme: [de-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.pl | 41.2 | 0.631 |
|
Helsinki-NLP/opus-mt-de-pon | 2021-01-18T08:02:34.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"pon",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 29 | transformers | ---
tags:
- translation
---
### opus-mt-de-pon
* source languages: de
* target languages: pon
* OPUS readme: [de-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pon/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/de-pon/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.pon | 21.0 | 0.442 |
|
Helsinki-NLP/opus-mt-de-tl | 2021-01-18T08:02:40.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"tl",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 31 | transformers | ---
language:
- de
- tl
tags:
- translation
license: apache-2.0
---
### deu-tgl
* source group: German
* target group: Tagalog
* OPUS readme: [deu-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): tgl_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.tgl | 21.2 | 0.541 |
### System Info:
- hf_name: deu-tgl
- source_languages: deu
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'tl']
- src_constituents: {'deu'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: tgl
- short_pair: de-tl
- chrF2_score: 0.541
- bleu: 21.2
- brevity_penalty: 1.0
- ref_len: 2329.0
- src_name: German
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: tl
- prefer_old: False
- long_pair: deu-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-uk | 2021-01-18T08:02:45.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"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 | 28 | transformers | ---
language:
- de
- uk
tags:
- translation
license: apache-2.0
---
### deu-ukr
* source group: German
* target group: Ukrainian
* OPUS readme: [deu-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ukr/README.md)
* model: transformer-align
* source language(s): deu
* 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/deu-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.ukr | 40.2 | 0.612 |
### System Info:
- hf_name: deu-ukr
- source_languages: deu
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'uk']
- src_constituents: {'deu'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: ukr
- short_pair: de-uk
- chrF2_score: 0.612
- bleu: 40.2
- brevity_penalty: 0.9840000000000001
- ref_len: 54213.0
- src_name: German
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: uk
- prefer_old: False
- long_pair: deu-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-de-vi | 2021-01-18T08:02:50.000Z | [
"pytorch",
"marian",
"seq2seq",
"de",
"vi",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
language:
- de
- vi
tags:
- translation
license: apache-2.0
---
### deu-vie
* source group: German
* target group: Vietnamese
* OPUS readme: [deu-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-vie/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): vie
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.vie | 25.0 | 0.443 |
### System Info:
- hf_name: deu-vie
- source_languages: deu
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'vi']
- src_constituents: {'deu'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: vie
- short_pair: de-vi
- chrF2_score: 0.44299999999999995
- bleu: 25.0
- brevity_penalty: 1.0
- ref_len: 3768.0
- src_name: German
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: vi
- prefer_old: False
- long_pair: deu-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-dra-en | 2021-01-18T08:02:54.000Z | [
"pytorch",
"marian",
"seq2seq",
"ta",
"kn",
"ml",
"te",
"dra",
"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 | 56 | transformers | ---
language:
- ta
- kn
- ml
- te
- dra
- en
tags:
- translation
license: apache-2.0
---
### dra-eng
* source group: Dravidian languages
* target group: English
* OPUS readme: [dra-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dra-eng/README.md)
* model: transformer
* source language(s): kan mal tam tel
* 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/dra-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kan-eng.kan.eng | 9.1 | 0.312 |
| Tatoeba-test.mal-eng.mal.eng | 42.0 | 0.584 |
| Tatoeba-test.multi.eng | 30.0 | 0.493 |
| Tatoeba-test.tam-eng.tam.eng | 30.2 | 0.467 |
| Tatoeba-test.tel-eng.tel.eng | 15.9 | 0.378 |
### System Info:
- hf_name: dra-eng
- source_languages: dra
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dra-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']
- src_constituents: {'tam', 'kan', 'mal', 'tel'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt
- src_alpha3: dra
- tgt_alpha3: eng
- short_pair: dra-en
- chrF2_score: 0.493
- bleu: 30.0
- brevity_penalty: 1.0
- ref_len: 10641.0
- src_name: Dravidian languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: dra
- tgt_alpha2: en
- prefer_old: False
- long_pair: dra-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ee-de | 2021-01-18T08:02:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"ee",
"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 | 39 | transformers | ---
tags:
- translation
---
### opus-mt-ee-de
* source languages: ee
* target languages: de
* OPUS readme: [ee-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-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/ee-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.de | 22.3 | 0.430 |
|
Helsinki-NLP/opus-mt-ee-en | 2021-01-18T08:03:04.000Z | [
"pytorch",
"marian",
"seq2seq",
"ee",
"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 | 95 | transformers | ---
tags:
- translation
---
### opus-mt-ee-en
* source languages: ee
* target languages: en
* OPUS readme: [ee-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-en/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/ee-en/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.en | 39.3 | 0.556 |
| Tatoeba.ee.en | 21.2 | 0.569 |
|
Helsinki-NLP/opus-mt-ee-es | 2021-01-18T08:03:09.000Z | [
"pytorch",
"marian",
"seq2seq",
"ee",
"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 | 49 | transformers | ---
tags:
- translation
---
### opus-mt-ee-es
* source languages: ee
* target languages: es
* OPUS readme: [ee-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-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/ee-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.es | 26.4 | 0.449 |
|
Helsinki-NLP/opus-mt-ee-fi | 2021-01-18T08:03:14.000Z | [
"pytorch",
"marian",
"seq2seq",
"ee",
"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 | 42 | transformers | ---
tags:
- translation
---
### opus-mt-ee-fi
* source languages: ee
* target languages: fi
* OPUS readme: [ee-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.fi | 25.0 | 0.482 |
|
Helsinki-NLP/opus-mt-ee-fr | 2021-01-18T08:03:19.000Z | [
"pytorch",
"marian",
"seq2seq",
"ee",
"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 | 55 | transformers | ---
tags:
- translation
---
### opus-mt-ee-fr
* source languages: ee
* target languages: fr
* OPUS readme: [ee-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-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/ee-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.fr | 27.1 | 0.450 |
|
Helsinki-NLP/opus-mt-ee-sv | 2021-01-18T08:03:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"ee",
"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 | 38 | transformers | ---
tags:
- translation
---
### opus-mt-ee-sv
* source languages: ee
* target languages: sv
* OPUS readme: [ee-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-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/ee-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.sv | 28.9 | 0.472 |
|
Helsinki-NLP/opus-mt-efi-de | 2021-01-18T08:03:29.000Z | [
"pytorch",
"marian",
"seq2seq",
"efi",
"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 | 53 | transformers | ---
tags:
- translation
---
### opus-mt-efi-de
* source languages: efi
* target languages: de
* OPUS readme: [efi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-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/efi-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.de | 21.0 | 0.401 |
|
Helsinki-NLP/opus-mt-efi-en | 2021-01-18T08:03:33.000Z | [
"pytorch",
"marian",
"seq2seq",
"efi",
"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 | 69 | transformers | ---
tags:
- translation
---
### opus-mt-efi-en
* source languages: efi
* target languages: en
* OPUS readme: [efi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-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/efi-en/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.en | 35.4 | 0.510 |
|
Helsinki-NLP/opus-mt-efi-fi | 2021-01-18T08:03:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"efi",
"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 | 48 | transformers | ---
tags:
- translation
---
### opus-mt-efi-fi
* source languages: efi
* target languages: fi
* OPUS readme: [efi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-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/efi-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.fi | 23.6 | 0.450 |
|
Helsinki-NLP/opus-mt-efi-fr | 2021-01-18T08:03:44.000Z | [
"pytorch",
"marian",
"seq2seq",
"efi",
"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-efi-fr
* source languages: efi
* target languages: fr
* OPUS readme: [efi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-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/efi-fr/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.fr | 25.1 | 0.419 |
|
Helsinki-NLP/opus-mt-efi-sv | 2021-01-18T08:03:50.000Z | [
"pytorch",
"marian",
"seq2seq",
"efi",
"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 | 33 | transformers | ---
tags:
- translation
---
### opus-mt-efi-sv
* source languages: efi
* target languages: sv
* OPUS readme: [efi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-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/efi-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.sv | 26.8 | 0.447 |
|
Helsinki-NLP/opus-mt-el-ar | 2021-01-18T08:03:55.000Z | [
"pytorch",
"marian",
"seq2seq",
"el",
"ar",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 30 | transformers | ---
language:
- el
- ar
tags:
- translation
license: apache-2.0
---
### ell-ara
* source group: Modern Greek (1453-)
* target group: Arabic
* OPUS readme: [ell-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md)
* model: transformer
* source language(s): ell
* target language(s): ara arz
* 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-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell.ara | 21.9 | 0.485 |
### System Info:
- hf_name: ell-ara
- source_languages: ell
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['el', 'ar']
- src_constituents: {'ell'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt
- src_alpha3: ell
- tgt_alpha3: ara
- short_pair: el-ar
- chrF2_score: 0.485
- bleu: 21.9
- brevity_penalty: 0.972
- ref_len: 1686.0
- src_name: Modern Greek (1453-)
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: el
- tgt_alpha2: ar
- prefer_old: False
- long_pair: ell-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-el-eo | 2021-01-18T08:03:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"el",
"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 | 30 | transformers | ---
language:
- el
- eo
tags:
- translation
license: apache-2.0
---
### ell-epo
* source group: Modern Greek (1453-)
* target group: Esperanto
* OPUS readme: [ell-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md)
* model: transformer-align
* source language(s): ell
* 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/ell-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell.epo | 32.4 | 0.517 |
### System Info:
- hf_name: ell-epo
- source_languages: ell
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['el', 'eo']
- src_constituents: {'ell'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt
- src_alpha3: ell
- tgt_alpha3: epo
- short_pair: el-eo
- chrF2_score: 0.517
- bleu: 32.4
- brevity_penalty: 0.9790000000000001
- ref_len: 3807.0
- src_name: Modern Greek (1453-)
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: el
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ell-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-el-fi | 2021-01-18T08:04:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"el",
"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 | 28 | transformers | ---
tags:
- translation
---
### opus-mt-el-fi
* source languages: el
* target languages: fi
* OPUS readme: [el-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-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/el-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.el.fi | 25.3 | 0.517 |
|
Helsinki-NLP/opus-mt-el-fr | 2021-01-18T08:04:10.000Z | [
"pytorch",
"marian",
"seq2seq",
"el",
"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 | 191 | transformers | ---
tags:
- translation
---
### opus-mt-el-fr
* source languages: el
* target languages: fr
* OPUS readme: [el-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-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/el-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.el.fr | 63.0 | 0.741 |
|
Helsinki-NLP/opus-mt-el-sv | 2021-01-18T08:04:16.000Z | [
"pytorch",
"marian",
"seq2seq",
"el",
"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 | 39 | transformers | ---
tags:
- translation
---
### opus-mt-el-sv
* source languages: el
* target languages: sv
* OPUS readme: [el-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-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/el-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.el.sv | 23.6 | 0.498 |
|
Helsinki-NLP/opus-mt-en-CELTIC | 2021-01-18T08:04:20.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"cel",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
tags:
- translation
---
### opus-mt-en-INSULAR_CELTIC
* source languages: en
* target languages: ga,cy,br,gd,kw,gv
* OPUS readme: [en-ga+cy+br+gd+kw+gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ga+cy+br+gd+kw+gv/README.md)
* dataset: opus+techiaith+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus+techiaith+bt-2020-04-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.zip)
* test set translations: [opus+techiaith+bt-2020-04-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.test.txt)
* test set scores: [opus+techiaith+bt-2020-04-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ga | 22.8 | 0.404 |
|
Helsinki-NLP/opus-mt-en-ROMANCE | 2021-03-12T11:10:53.000Z | [
"pytorch",
"tf",
"rust",
"marian",
"seq2seq",
"en",
"roa",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tf_model.h5",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 256,131 | transformers | ---
tags:
- translation
---
### opus-mt-en-ROMANCE
* source languages: en
* target languages: fr,fr_BE,fr_CA,fr_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es_AR,es_CL,es_CO,es_CR,es_DO,es_EC,es_ES,es_GT,es_HN,es_MX,es_NI,es_PA,es_PE,es_PR,es_SV,es_UY,es_VE,pt,pt_br,pt_BR,pt_PT,gl,lad,an,mwl,it,it_IT,co,nap,scn,vec,sc,ro,la
* OPUS readme: [en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-04-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.zip)
* test set translations: [opus-2020-04-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.test.txt)
* test set scores: [opus-2020-04-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.la | 50.1 | 0.693 |
|
Helsinki-NLP/opus-mt-en-aav | 2021-01-18T08:04:32.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"vi",
"km",
"aav",
"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:
- en
- vi
- km
- aav
tags:
- translation
license: apache-2.0
---
### eng-aav
* source group: English
* target group: Austro-Asiatic languages
* OPUS readme: [eng-aav](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md)
* model: transformer
* source language(s): eng
* target language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani
* 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/eng-aav/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-hoc.eng.hoc | 0.1 | 0.033 |
| Tatoeba-test.eng-kha.eng.kha | 0.4 | 0.043 |
| Tatoeba-test.eng-khm.eng.khm | 0.2 | 0.242 |
| Tatoeba-test.eng-mnw.eng.mnw | 0.8 | 0.003 |
| Tatoeba-test.eng.multi | 16.1 | 0.311 |
| Tatoeba-test.eng-vie.eng.vie | 33.2 | 0.508 |
### System Info:
- hf_name: eng-aav
- source_languages: eng
- target_languages: aav
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi', 'km', 'aav']
- src_constituents: {'eng'}
- tgt_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: aav
- short_pair: en-aav
- chrF2_score: 0.311
- bleu: 16.1
- brevity_penalty: 1.0
- ref_len: 38261.0
- src_name: English
- tgt_name: Austro-Asiatic languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: aav
- prefer_old: False
- long_pair: eng-aav
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-af | 2021-01-18T08:04:37.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"af",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 382 | transformers | ---
tags:
- translation
---
### opus-mt-en-af
* source languages: en
* target languages: af
* OPUS readme: [en-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-af/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/en-af/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.af | 56.1 | 0.741 |
|