* source group: East Slavic languages
* target group: East Slavic languages
* OPUS readme: [zle-zle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-zle/README.md)
* model: transformer
* source language(s): bel bel_Latn orv_Cyrl rus ukr
* target language(s): bel bel_Latn orv_Cyrl rus ukr
* 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-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opus-2020-07-27.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bel-rus.bel.rus 	| 57.1 	| 0.758 |
| Tatoeba-test.bel-ukr.bel.ukr 	| 55.5 	| 0.751 |
| Tatoeba-test.multi.multi 	| 58.0 	| 0.742 |
| Tatoeba-test.orv-rus.orv.rus 	| 5.8 	| 0.226 |
| Tatoeba-test.orv-ukr.orv.ukr 	| 2.5 	| 0.161 |
| Tatoeba-test.rus-bel.rus.bel 	| 50.5 	| 0.714 |
| Tatoeba-test.rus-orv.rus.orv 	| 0.3 	| 0.129 |
| Tatoeba-test.rus-ukr.rus.ukr 	| 63.9 	| 0.794 |
| Tatoeba-test.ukr-bel.ukr.bel 	| 51.3 	| 0.719 |
| Tatoeba-test.ukr-orv.ukr.orv 	| 0.3 	| 0.106 |
| Tatoeba-test.ukr-rus.ukr.rus 	| 68.7 	| 0.825 |


### System Info:


- hf_name: zle-zle
- source_languages: zle
- target_languages: zle
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-zle/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'ru', 'uk', 'zle']
- src_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'}
- tgt_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zle-zle/opus-2020-07-27.test.txt
- src_alpha3: zle
- tgt_alpha3: zle
- short_pair: zle-zle
- chrF2_score: 0.742
- bleu: 58.0
- brevity_penalty: 1.0
- ref_len: 62731.0
- src_name: East Slavic languages
- tgt_name: East Slavic languages
- train_date: 2020-07-27
- src_alpha2: zle
- tgt_alpha2: zle
- prefer_old: False
- long_pair: zle-zle
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zle-zle


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, be, ru, uk, zle, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ja
- it


tags:


- translation


## license: apache-2.0


### jpn-ita


* source group: Japanese
* target group: Italian
* OPUS readme: [jpn-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ita/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): ita
* 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/jpn-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.ita 	| 22.8 	| 0.460 |


- hf_name: jpn-ita
- source_languages: jpn
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'it']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ita/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: ita
- short_pair: ja-it
- chrF2_score: 0.46
- bleu: 22.8
- brevity_penalty: 0.9540000000000001
- ref_len: 21500.0
- src_name: Japanese
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: it
- prefer_old: False
- long_pair: jpn-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-it


tags: pytorch, marian, text2text-generation, ja, it, transformers, translation, license:apache-2.0, autonlp_compatible


- lo
- th
- taw
- en


### taw-eng


* source group: Tai
* target group: English
* OPUS readme: [taw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md)
* model: transformer
* source language(s): lao tha
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-28.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.zip)
* test set translations: [opus-2020-06-28.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.test.txt)
* test set scores: [opus-2020-06-28.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lao-eng.lao.eng 	| 1.1 	| 0.133 |
| Tatoeba-test.multi.eng 	| 38.9 	| 0.572 |
| Tatoeba-test.tha-eng.tha.eng 	| 40.6 	| 0.588 |


### System Info:


- hf_name: taw-eng
- source_languages: taw
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lo', 'th', 'taw', 'en']
- src_constituents: {'lao', 'tha'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/taw-eng/opus-2020-06-28.test.txt
- src_alpha3: taw
- tgt_alpha3: eng
- short_pair: taw-en
- chrF2_score: 0.5720000000000001
- bleu: 38.9
- brevity_penalty: 1.0
- ref_len: 7630.0
- src_name: Tai
- tgt_name: English
- train_date: 2020-06-28
- src_alpha2: taw
- tgt_alpha2: en
- prefer_old: False
- long_pair: taw-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-taw-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lo, th, taw, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-cs


* source languages: en
* target languages: cs
* OPUS readme: [en-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cs/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-cs/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.cs 	| 22.8 	| 0.507 |
| news-test2008.en.cs 	| 20.7 	| 0.485 |
| newstest2009.en.cs 	| 21.8 	| 0.500 |
| newstest2010.en.cs 	| 22.1 	| 0.505 |
| newstest2011.en.cs 	| 23.2 	| 0.507 |
| newstest2012.en.cs 	| 20.8 	| 0.482 |
| newstest2013.en.cs 	| 24.7 	| 0.514 |
| newstest2015-encs.en.cs 	| 24.9 	| 0.527 |
| newstest2016-encs.en.cs 	| 26.7 	| 0.540 |
| newstest2017-encs.en.cs 	| 22.7 	| 0.503 |
| newstest2018-encs.en.cs 	| 22.9 	| 0.504 |
| newstest2019-encs.en.cs 	| 24.9 	| 0.518 |
| Tatoeba.en.cs 	| 46.1 	| 0.647 |


model name: opus-mt-en-cs


tags: pytorch, marian, text2text-generation, en, cs, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-ss


* source languages: en
* target languages: ss
* OPUS readme: [en-ss](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ss/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/en-ss/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ss 	| 25.7 	| 0.541 |


model name: opus-mt-en-ss


tags: pytorch, marian, text2text-generation, en, ss, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-es-mt


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.mt 	| 28.1 	| 0.460 |


model name: opus-mt-es-mt


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, mt, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-lue-es


* source languages: lue
* target languages: es
* OPUS readme: [lue-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lue.es 	| 22.8 	| 0.399 |


model name: opus-mt-lue-es


tags: pytorch, marian, text2text-generation, lue, es, transformers, translation, license:apache-2.0, autonlp_compatible


### 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 |


model name: opus-mt-efi-de


tags: pytorch, marian, text2text-generation, efi, de, transformers, translation, license:apache-2.0, autonlp_compatible


### 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)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.hu 	| 34.3 	| 0.588 |


model name: opus-mt-de-hu


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, de, hu, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-guw-sv


* source languages: guw
* target languages: sv
* OPUS readme: [guw-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-sv/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.guw.sv 	| 31.2 	| 0.498 |


model name: opus-mt-guw-sv


tags: pytorch, marian, text2text-generation, guw, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-fj


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.fj 	| 26.6 	| 0.500 |


model name: opus-mt-fi-fj


tags: pytorch, marian, text2text-generation, fi, fj, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sg-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sg.es 	| 21.3 	| 0.385 |


model name: opus-mt-sg-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, sg, es, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-fse


* source languages: fi
* target languages: fse
* OPUS readme: [fi-fse](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fse/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fse/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.fse 	| 81.9 	| 0.882 |


model name: opus-mt-fi-fse


tags: pytorch, marian, text2text-generation, fi, fse, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sv-ilo


* source languages: sv
* target languages: ilo
* OPUS readme: [sv-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ilo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ilo/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ilo/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ilo/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ilo 	| 34.8 	| 0.578 |


model name: opus-mt-sv-ilo


tags: pytorch, marian, text2text-generation, sv, ilo, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- is
- eo


- translation


## license: apache-2.0


### isl-epo


* source group: Icelandic
* target group: Esperanto
* OPUS readme: [isl-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-epo/README.md)
* model: transformer-align
* source language(s): isl
* 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/isl-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.isl.epo 	| 11.8 	| 0.314 |


### System Info:


- hf_name: isl-epo
- source_languages: isl
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['is', 'eo']
- src_constituents: {'isl'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.test.txt
- src_alpha3: isl
- tgt_alpha3: epo
- short_pair: is-eo
- chrF2_score: 0.314
- bleu: 11.8
- brevity_penalty: 1.0
- ref_len: 1528.0
- src_name: Icelandic
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: is
- tgt_alpha2: eo
- prefer_old: False
- long_pair: isl-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-is-eo


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, is, eo, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-es-csn


* source languages: es
* target languages: csn
* OPUS readme: [es-csn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.csn 	| 87.8 	| 0.901 |


model name: opus-mt-es-csn


tags: pytorch, marian, text2text-generation, es, csn, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-yo-en


* source languages: yo
* target languages: en
* OPUS readme: [yo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/yo-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-en/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yo.en 	| 33.8 	| 0.496 |


model name: opus-mt-yo-en


tags: pytorch, marian, text2text-generation, yo, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-sg


* source languages: fi
* target languages: sg
* OPUS readme: [fi-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sg/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sg/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sg/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sg 	| 29.3 	| 0.480 |


model name: opus-mt-fi-sg


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, sg, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sv-es


* source languages: sv
* target languages: es
* OPUS readme: [sv-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-es/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-es/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-es/opus-2020-01-24.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.es 	| 52.1 	| 0.683 |


model name: opus-mt-sv-es


tags: pytorch, marian, text2text-generation, sv, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-nl-es


* source languages: nl
* target languages: es
* OPUS readme: [nl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.nl.es 	| 51.6 	| 0.698 |


model name: opus-mt-nl-es


tags: pytorch, marian, text2text-generation, nl, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-tiv-fr


* source languages: tiv
* target languages: fr
* OPUS readme: [tiv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tiv-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/tiv-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tiv-fr/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tiv.fr 	| 22.3 	| 0.389 |


model name: opus-mt-tiv-fr


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, tiv, fr, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- pl
- ar


tags:


- translation


## license: apache-2.0


### pol-ara


* source group: Polish
* target group: Arabic
* OPUS readme: [pol-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md)
* model: transformer
* source language(s): pol
* 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/pol-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.ara 	| 20.4 	| 0.491 |


### System Info:


- hf_name: pol-ara
- source_languages: pol
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'ar']
- src_constituents: {'pol'}
- 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/pol-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt
- src_alpha3: pol
- tgt_alpha3: ara
- short_pair: pl-ar
- chrF2_score: 0.491
- bleu: 20.4
- brevity_penalty: 0.9590000000000001
- ref_len: 1028.0
- src_name: Polish
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: pl
- tgt_alpha2: ar
- prefer_old: False
- long_pair: pol-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pl-ar


tags: pytorch, marian, text2text-generation, pl, ar, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-sg-fi


* source languages: sg
* target languages: fi
* OPUS readme: [sg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sg.fi 	| 22.7 	| 0.438 |


model name: opus-mt-sg-fi


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, sg, fi, transformers, translation, license:apache-2.0, autonlp_compatible


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


model name: opus-mt-de-vi


tags: pytorch, marian, text2text-generation, de, vi, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-en-he


* source languages: en
* target languages: he
* OPUS readme: [en-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-he/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-he/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.he 	| 40.1 	| 0.609 |


model name: opus-mt-en-he


model author: Helsinki-NLP


task: translation


tags: pytorch, rust, marian, text2text-generation, en, he, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- bn
- or
- gu
- mr
- ur
- hi
- as
- si
- inc
- en


tags:


- translation


## license: apache-2.0


### inc-eng


* source group: Indic languages
* target group: English
* OPUS readme: [inc-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-eng/README.md)
* model: transformer
* source language(s): asm awa ben bho gom guj hif_Latn hin mai mar npi ori pan_Guru pnb rom san_Deva sin snd_Arab urd
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-hineng.hin.eng 	| 8.9 	| 0.341 |
| newsdev2019-engu-gujeng.guj.eng 	| 8.7 	| 0.321 |
| newstest2014-hien-hineng.hin.eng 	| 13.1 	| 0.396 |
| newstest2019-guen-gujeng.guj.eng 	| 6.5 	| 0.290 |
| Tatoeba-test.asm-eng.asm.eng 	| 18.1 	| 0.363 |
| Tatoeba-test.awa-eng.awa.eng 	| 6.2 	| 0.222 |
| Tatoeba-test.ben-eng.ben.eng 	| 44.7 	| 0.595 |
| Tatoeba-test.bho-eng.bho.eng 	| 29.4 	| 0.458 |
| Tatoeba-test.guj-eng.guj.eng 	| 19.3 	| 0.383 |
| Tatoeba-test.hif-eng.hif.eng 	| 3.7 	| 0.220 |
| Tatoeba-test.hin-eng.hin.eng 	| 38.6 	| 0.564 |
| Tatoeba-test.kok-eng.kok.eng 	| 6.6 	| 0.287 |
| Tatoeba-test.lah-eng.lah.eng 	| 16.0 	| 0.272 |
| Tatoeba-test.mai-eng.mai.eng 	| 75.6 	| 0.796 |
| Tatoeba-test.mar-eng.mar.eng 	| 25.9 	| 0.497 |
| Tatoeba-test.multi.eng 	| 29.0 	| 0.502 |
| Tatoeba-test.nep-eng.nep.eng 	| 4.5 	| 0.198 |
| Tatoeba-test.ori-eng.ori.eng 	| 5.0 	| 0.226 |
| Tatoeba-test.pan-eng.pan.eng 	| 17.4 	| 0.375 |
| Tatoeba-test.rom-eng.rom.eng 	| 1.7 	| 0.174 |
| Tatoeba-test.san-eng.san.eng 	| 5.0 	| 0.173 |
| Tatoeba-test.sin-eng.sin.eng 	| 31.2 	| 0.511 |
| Tatoeba-test.snd-eng.snd.eng 	| 45.7 	| 0.670 |
| Tatoeba-test.urd-eng.urd.eng 	| 25.6 	| 0.456 |


### System Info:


- hf_name: inc-eng
- source_languages: inc
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc', 'en']
- src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.test.txt
- src_alpha3: inc
- tgt_alpha3: eng
- short_pair: inc-en
- chrF2_score: 0.502
- bleu: 29.0
- brevity_penalty: 1.0
- ref_len: 64706.0
- src_name: Indic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: inc
- tgt_alpha2: en
- prefer_old: False
- long_pair: inc-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-inc-en


tags: pytorch, marian, text2text-generation, bn, or, gu, mr, ur, hi, as, si, inc, en, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-nso-en


* source languages: nso
* target languages: en
* OPUS readme: [nso-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/nso-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-en/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.en 	| 48.6 	| 0.634 |


model name: opus-mt-nso-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, nso, en, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- pl
- uk


tags:


- translation


## license: apache-2.0


### pol-ukr


* source group: Polish
* target group: Ukrainian
* OPUS readme: [pol-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ukr/README.md)
* model: transformer-align
* source language(s): pol
* 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/pol-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.ukr 	| 47.1 	| 0.665 |


### System Info:


- hf_name: pol-ukr
- source_languages: pol
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'uk']
- src_constituents: {'pol'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.test.txt
- src_alpha3: pol
- tgt_alpha3: ukr
- short_pair: pl-uk
- chrF2_score: 0.665
- bleu: 47.1
- brevity_penalty: 0.992
- ref_len: 13434.0
- src_name: Polish
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: pl
- tgt_alpha2: uk
- prefer_old: False
- long_pair: pol-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pl-uk


tags: pytorch, marian, text2text-generation, pl, uk, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-fi-tn


* source languages: fi
* target languages: tn
* OPUS readme: [fi-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tn/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tn 	| 34.5 	| 0.555 |


model name: opus-mt-fi-tn


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, tn, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- bg
- es


tags:


- translation


## license: apache-2.0


### bul-spa


* source group: Bulgarian
* target group: Spanish
* OPUS readme: [bul-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-spa/README.md)
* model: transformer
* source language(s): bul
* target language(s): spa
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.spa 	| 49.1 	| 0.661 |


### System Info:


- hf_name: bul-spa
- source_languages: bul
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'es']
- src_constituents: {'bul', 'bul_Latn'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-spa/opus-2020-07-03.test.txt
- src_alpha3: bul
- tgt_alpha3: spa
- short_pair: bg-es
- chrF2_score: 0.6609999999999999
- bleu: 49.1
- brevity_penalty: 0.992
- ref_len: 1783.0
- src_name: Bulgarian
- tgt_name: Spanish
- train_date: 2020-07-03
- src_alpha2: bg
- tgt_alpha2: es
- prefer_old: False
- long_pair: bul-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bg-es


tags: pytorch, marian, text2text-generation, bg, es, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-en-kg


* source languages: en
* target languages: kg
* OPUS readme: [en-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kg/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/en-kg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.kg 	| 39.6 	| 0.613 |


model name: opus-mt-en-kg


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, kg, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ru
- no


tags:


- translation


## license: apache-2.0


### rus-nor


* source group: Russian
* target group: Norwegian
* OPUS readme: [rus-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md)
* model: transformer-align
* source language(s): rus
* 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/rus-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.nor 	| 20.3 	| 0.418 |


### System Info:


- hf_name: rus-nor
- source_languages: rus
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'no']
- src_constituents: {'rus'}
- 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/rus-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: nor
- short_pair: ru-no
- chrF2_score: 0.418
- bleu: 20.3
- brevity_penalty: 0.946
- ref_len: 11686.0
- src_name: Russian
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: no
- prefer_old: False
- long_pair: rus-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-no


tags: pytorch, marian, text2text-generation, ru, no, transformers, translation, license:apache-2.0, autonlp_compatible


- en
- fj
- mi
- ty
- to
- na
- sm
- mh
- pqe


### eng-pqe


* source group: English
* target group: Eastern Malayo-Polynesian languages
* OPUS readme: [eng-pqe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md)
* model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-fij.eng.fij 	| 22.1 	| 0.396 |
| Tatoeba-test.eng-gil.eng.gil 	| 41.9 	| 0.673 |
| Tatoeba-test.eng-haw.eng.haw 	| 0.6 	| 0.114 |
| Tatoeba-test.eng-lkt.eng.lkt 	| 0.5 	| 0.075 |
| Tatoeba-test.eng-mah.eng.mah 	| 9.7 	| 0.386 |
| Tatoeba-test.eng-mri.eng.mri 	| 7.7 	| 0.301 |
| Tatoeba-test.eng.multi 	| 11.3 	| 0.306 |
| Tatoeba-test.eng-nau.eng.nau 	| 0.5 	| 0.071 |
| Tatoeba-test.eng-niu.eng.niu 	| 42.5 	| 0.560 |
| Tatoeba-test.eng-rap.eng.rap 	| 3.3 	| 0.122 |
| Tatoeba-test.eng-smo.eng.smo 	| 27.0 	| 0.462 |
| Tatoeba-test.eng-tah.eng.tah 	| 11.3 	| 0.307 |
| Tatoeba-test.eng-ton.eng.ton 	| 27.0 	| 0.528 |
| Tatoeba-test.eng-tvl.eng.tvl 	| 29.3 	| 0.513 |


- hf_name: eng-pqe
- source_languages: eng
- target_languages: pqe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe']
- src_constituents: {'eng'}
- tgt_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: pqe
- short_pair: en-pqe
- chrF2_score: 0.306
- bleu: 11.3
- brevity_penalty: 1.0
- ref_len: 5786.0
- src_name: English
- tgt_name: Eastern Malayo-Polynesian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: pqe
- prefer_old: False
- long_pair: eng-pqe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-pqe


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, fj, mi, ty, to, na, sm, mh, pqe, transformers, translation, license:apache-2.0, autonlp_compatible


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


model name: opus-mt-de-ms


tags: pytorch, marian, text2text-generation, de, ms, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### 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)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ase 	| 30.4 	| 0.483 |


model name: opus-mt-de-ase


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, de, ase, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### 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 |


model name: opus-mt-de-et


tags: pytorch, marian, text2text-generation, de, et, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-bi-sv


* source languages: bi
* target languages: sv
* OPUS readme: [bi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bi-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/bi-sv/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-sv/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bi-sv/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bi.sv 	| 22.7 	| 0.403 |


model name: opus-mt-bi-sv


tags: pytorch, marian, text2text-generation, bi, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- fr
- tl


- translation


## license: apache-2.0


### fra-tgl


* source group: French
* target group: Tagalog
* OPUS readme: [fra-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md)
* model: transformer-align
* source language(s): fra
* 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/fra-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.tgl 	| 24.1 	| 0.536 |


### System Info:


- hf_name: fra-tgl
- source_languages: fra
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'tl']
- src_constituents: {'fra'}
- 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/fra-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: tgl
- short_pair: fr-tl
- chrF2_score: 0.536
- bleu: 24.1
- brevity_penalty: 1.0
- ref_len: 5778.0
- src_name: French
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: tl
- prefer_old: False
- long_pair: fra-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fr-tl


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fr, tl, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-lus-fr


* source languages: lus
* target languages: fr
* OPUS readme: [lus-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lus-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fr/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lus.fr 	| 25.5 	| 0.423 |


model name: opus-mt-lus-fr


tags: pytorch, marian, text2text-generation, lus, fr, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- pl
- no


- translation


## license: apache-2.0


### pol-nor


* source group: Polish
* target group: Norwegian
* OPUS readme: [pol-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-nor/README.md)
* model: transformer-align
* source language(s): pol
* target language(s): nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-nor/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.nor 	| 27.5 	| 0.479 |


### System Info:


- hf_name: pol-nor
- source_languages: pol
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'no']
- src_constituents: {'pol'}
- 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/pol-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-nor/opus-2020-06-17.test.txt
- src_alpha3: pol
- tgt_alpha3: nor
- short_pair: pl-no
- chrF2_score: 0.479
- bleu: 27.5
- brevity_penalty: 0.9690000000000001
- ref_len: 2045.0
- src_name: Polish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: pl
- tgt_alpha2: no
- prefer_old: False
- long_pair: pol-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pl-no


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, pl, no, transformers, translation, license:apache-2.0, autonlp_compatible


- fr
- no


tags:


### fra-nor


* source group: French
* target group: Norwegian
* OPUS readme: [fra-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md)
* model: transformer-align
* source language(s): fra
* 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/fra-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.nor 	| 36.1 	| 0.555 |


- hf_name: fra-nor
- source_languages: fra
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'no']
- src_constituents: {'fra'}
- 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/fra-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: nor
- short_pair: fr-no
- chrF2_score: 0.555
- bleu: 36.1
- brevity_penalty: 0.981
- ref_len: 3089.0
- src_name: French
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: no
- prefer_old: False
- long_pair: fra-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fr-no


tags: pytorch, marian, text2text-generation, fr, no, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- sn
- rw
- wo
- ig
- sg
- ee
- zu
- lg
- ts
- ln
- ny
- yo
- rn
- xh
- alv


- translation


## license: apache-2.0


### eng-alv


* source group: English
* target group: Atlantic-Congo languages
* OPUS readme: [eng-alv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md)
* model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ewe.eng.ewe 	| 4.9 	| 0.212 |
| Tatoeba-test.eng-ful.eng.ful 	| 0.6 	| 0.079 |
| Tatoeba-test.eng-ibo.eng.ibo 	| 3.5 	| 0.255 |
| Tatoeba-test.eng-kin.eng.kin 	| 10.5 	| 0.510 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.1 	| 0.273 |
| Tatoeba-test.eng-lug.eng.lug 	| 5.3 	| 0.340 |
| Tatoeba-test.eng.multi 	| 11.4 	| 0.429 |
| Tatoeba-test.eng-nya.eng.nya 	| 18.1 	| 0.595 |
| Tatoeba-test.eng-run.eng.run 	| 13.9 	| 0.484 |
| Tatoeba-test.eng-sag.eng.sag 	| 5.3 	| 0.194 |
| Tatoeba-test.eng-sna.eng.sna 	| 26.2 	| 0.623 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.0 	| 0.141 |
| Tatoeba-test.eng-toi.eng.toi 	| 7.0 	| 0.224 |
| Tatoeba-test.eng-tso.eng.tso 	| 46.7 	| 0.643 |
| Tatoeba-test.eng-umb.eng.umb 	| 7.8 	| 0.359 |
| Tatoeba-test.eng-wol.eng.wol 	| 6.8 	| 0.191 |
| Tatoeba-test.eng-xho.eng.xho 	| 27.1 	| 0.629 |
| Tatoeba-test.eng-yor.eng.yor 	| 17.4 	| 0.356 |
| Tatoeba-test.eng-zul.eng.zul 	| 34.1 	| 0.729 |


### System Info:


- hf_name: eng-alv
- source_languages: eng
- target_languages: alv
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']
- src_constituents: {'eng'}
- tgt_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: alv
- short_pair: en-alv
- chrF2_score: 0.429
- bleu: 11.4
- brevity_penalty: 1.0
- ref_len: 10603.0
- src_name: English
- tgt_name: Atlantic-Congo languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: alv
- prefer_old: False
- long_pair: eng-alv
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-alv


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, sn, rw, wo, ig, sg, ee, zu, lg, ts, ln, ny, yo, rn, xh, alv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-yo-sv


* source languages: yo
* target languages: sv
* OPUS readme: [yo-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/yo-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-sv/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yo.sv 	| 25.2 	| 0.434 |


model name: opus-mt-yo-sv


tags: pytorch, marian, text2text-generation, yo, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ru
- sl


- translation


## license: apache-2.0


### rus-slv


* source group: Russian
* target group: Slovenian
* OPUS readme: [rus-slv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): slv
* 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/rus-slv/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.slv 	| 32.3 	| 0.492 |


### System Info:


- hf_name: rus-slv
- source_languages: rus
- target_languages: slv
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'sl']
- src_constituents: {'rus'}
- tgt_constituents: {'slv'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: slv
- short_pair: ru-sl
- chrF2_score: 0.49200000000000005
- bleu: 32.3
- brevity_penalty: 0.992
- ref_len: 2135.0
- src_name: Russian
- tgt_name: Slovenian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: sl
- prefer_old: False
- long_pair: rus-slv
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-sl


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ru, sl, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-bcl


* source languages: en
* target languages: bcl
* OPUS readme: [en-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bcl/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.zip)
* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.test.txt)
* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.bcl 	| 54.3 	| 0.722 |


model name: opus-mt-en-bcl


tags: pytorch, marian, text2text-generation, en, bcl, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- es
- is


- translation


## license: apache-2.0


### spa-isl


* source group: Spanish
* target group: Icelandic
* OPUS readme: [spa-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): isl
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.isl 	| 27.1 	| 0.528 |


### System Info:


- hf_name: spa-isl
- source_languages: spa
- target_languages: isl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'is']
- src_constituents: {'spa'}
- tgt_constituents: {'isl'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-isl/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: isl
- short_pair: es-is
- chrF2_score: 0.528
- bleu: 27.1
- brevity_penalty: 1.0
- ref_len: 1220.0
- src_name: Spanish
- tgt_name: Icelandic
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: is
- prefer_old: False
- long_pair: spa-isl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-is


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, is, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ve-en


* source languages: ve
* target languages: en
* OPUS readme: [ve-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ve.en 	| 41.3 	| 0.566 |


model name: opus-mt-ve-en


tags: pytorch, marian, text2text-generation, ve, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-bg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.bg 	| 27.8 	| 0.502 |


model name: opus-mt-fi-bg


tags: pytorch, marian, text2text-generation, fi, bg, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-ja-sv


* source languages: ja
* target languages: sv
* OPUS readme: [ja-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.sv 	| 26.1 	| 0.445 |


model name: opus-mt-ja-sv


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ja, sv, transformers, translation, license:apache-2.0, autonlp_compatible


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


model name: opus-mt-de-uk


tags: pytorch, marian, text2text-generation, de, uk, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-mg-en


* source languages: mg
* target languages: en
* OPUS readme: [mg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/mg-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.mg.en 	| 27.6 	| 0.522 |
| Tatoeba.mg.en 	| 50.2 	| 0.607 |


model name: opus-mt-mg-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, mg, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-fr-pis


* source languages: fr
* target languages: pis
* OPUS readme: [fr-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pis/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pis 	| 29.0 	| 0.486 |


model name: opus-mt-fr-pis


tags: pytorch, marian, text2text-generation, fr, pis, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-es-tw


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tw 	| 26.3 	| 0.465 |


model name: opus-mt-es-tw


tags: pytorch, marian, text2text-generation, es, tw, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- poz


- translation


## license: apache-2.0


### eng-poz


* source group: English
* target group: Malayo-Polynesian languages
* OPUS readme: [eng-poz](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn
* 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-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 1.3 	| 0.086 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 10.2 	| 0.426 |
| Tatoeba-test.eng-cha.eng.cha 	| 1.9 	| 0.196 |
| Tatoeba-test.eng-dtp.eng.dtp 	| 0.4 	| 0.121 |
| Tatoeba-test.eng-fij.eng.fij 	| 31.0 	| 0.463 |
| Tatoeba-test.eng-gil.eng.gil 	| 45.4 	| 0.635 |
| Tatoeba-test.eng-haw.eng.haw 	| 0.6 	| 0.104 |
| Tatoeba-test.eng-hil.eng.hil 	| 14.4 	| 0.498 |
| Tatoeba-test.eng-iba.eng.iba 	| 17.4 	| 0.414 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 33.1 	| 0.585 |
| Tatoeba-test.eng-jav.eng.jav 	| 6.5 	| 0.309 |
| Tatoeba-test.eng-lkt.eng.lkt 	| 0.5 	| 0.065 |
| Tatoeba-test.eng-mad.eng.mad 	| 1.7 	| 0.156 |
| Tatoeba-test.eng-mah.eng.mah 	| 12.7 	| 0.391 |
| Tatoeba-test.eng-mlg.eng.mlg 	| 30.3 	| 0.504 |
| Tatoeba-test.eng-mri.eng.mri 	| 8.2 	| 0.316 |
| Tatoeba-test.eng-msa.eng.msa 	| 30.4 	| 0.561 |
| Tatoeba-test.eng.multi 	| 16.2 	| 0.410 |
| Tatoeba-test.eng-nau.eng.nau 	| 0.6 	| 0.087 |
| Tatoeba-test.eng-niu.eng.niu 	| 33.2 	| 0.482 |
| Tatoeba-test.eng-pag.eng.pag 	| 19.4 	| 0.555 |
| Tatoeba-test.eng-pau.eng.pau 	| 1.0 	| 0.124 |
| Tatoeba-test.eng-rap.eng.rap 	| 1.4 	| 0.090 |
| Tatoeba-test.eng-smo.eng.smo 	| 12.9 	| 0.407 |
| Tatoeba-test.eng-sun.eng.sun 	| 15.5 	| 0.364 |
| Tatoeba-test.eng-tah.eng.tah 	| 9.5 	| 0.295 |
| Tatoeba-test.eng-tet.eng.tet 	| 1.2 	| 0.146 |
| Tatoeba-test.eng-ton.eng.ton 	| 23.7 	| 0.484 |
| Tatoeba-test.eng-tvl.eng.tvl 	| 32.5 	| 0.549 |
| Tatoeba-test.eng-war.eng.war 	| 12.6 	| 0.432 |


### System Info:


- hf_name: eng-poz
- source_languages: eng
- target_languages: poz
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'poz']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: poz
- short_pair: en-poz
- chrF2_score: 0.41
- bleu: 16.2
- brevity_penalty: 1.0
- ref_len: 66803.0
- src_name: English
- tgt_name: Malayo-Polynesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: poz
- prefer_old: False
- long_pair: eng-poz
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-poz


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, poz, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ja-de


* source languages: ja
* target languages: de
* OPUS readme: [ja-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-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/ja-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-de/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.de 	| 30.1 	| 0.518 |


model name: opus-mt-ja-de


tags: pytorch, marian, text2text-generation, ja, de, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-es-de


* source languages: es
* target languages: de
* OPUS readme: [es-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.de 	| 50.0 	| 0.683 |


model name: opus-mt-es-de


tags: pytorch, marian, text2text-generation, es, de, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- mt
- ar
- he
- ti
- am
- sem


- translation


## license: apache-2.0


### sem-sem


* source group: Semitic languages
* target group: Semitic languages
* OPUS readme: [sem-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-sem/README.md)
* model: transformer
* source language(s): apc ara arq arz heb mlt
* target language(s): apc ara arq arz heb mlt
* 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-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara-ara.ara.ara 	| 4.2 	| 0.200 |
| Tatoeba-test.ara-heb.ara.heb 	| 34.0 	| 0.542 |
| Tatoeba-test.ara-mlt.ara.mlt 	| 16.6 	| 0.513 |
| Tatoeba-test.heb-ara.heb.ara 	| 18.8 	| 0.477 |
| Tatoeba-test.mlt-ara.mlt.ara 	| 20.7 	| 0.388 |
| Tatoeba-test.multi.multi 	| 27.1 	| 0.507 |


### System Info:


- hf_name: sem-sem
- source_languages: sem
- target_languages: sem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-sem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem']
- src_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.test.txt
- src_alpha3: sem
- tgt_alpha3: sem
- short_pair: sem-sem
- chrF2_score: 0.507
- bleu: 27.1
- brevity_penalty: 0.972
- ref_len: 13472.0
- src_name: Semitic languages
- tgt_name: Semitic languages
- train_date: 2020-07-27
- src_alpha2: sem
- tgt_alpha2: sem
- prefer_old: False
- long_pair: sem-sem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sem-sem


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, mt, ar, he, ti, am, sem, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sv-sq


* source languages: sv
* target languages: sq
* OPUS readme: [sv-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sq/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sq/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sq 	| 34.4 	| 0.553 |


model name: opus-mt-sv-sq


tags: pytorch, marian, text2text-generation, sv, sq, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ja
- sh


- translation


## license: apache-2.0


### jpn-hbs


* source group: Japanese
* target group: Serbo-Croatian
* OPUS readme: [jpn-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn
* target language(s): bos_Latn hrv srp_Cyrl srp_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/jpn-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.hbs 	| 22.6 	| 0.447 |


### System Info:


- hf_name: jpn-hbs
- source_languages: jpn
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'sh']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: hbs
- short_pair: ja-sh
- chrF2_score: 0.447
- bleu: 22.6
- brevity_penalty: 0.9620000000000001
- ref_len: 2525.0
- src_name: Japanese
- tgt_name: Serbo-Croatian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: sh
- prefer_old: False
- long_pair: jpn-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-sh


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ja, sh, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-gv


* source languages: en
* target languages: gv
* OPUS readme: [en-gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gv/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/en-gv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.en.gv 	| 70.1 	| 0.885 |


model name: opus-mt-en-gv


tags: pytorch, marian, text2text-generation, en, gv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- vi
- eo


- translation


## license: apache-2.0


### vie-epo


* source group: Vietnamese
* target group: Esperanto
* OPUS readme: [vie-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md)
* model: transformer-align
* source language(s): vie
* 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/vie-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.epo 	| 12.2 	| 0.332 |


### System Info:


- hf_name: vie-epo
- source_languages: vie
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'eo']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt
- src_alpha3: vie
- tgt_alpha3: epo
- short_pair: vi-eo
- chrF2_score: 0.332
- bleu: 12.2
- brevity_penalty: 0.99
- ref_len: 13637.0
- src_name: Vietnamese
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: vi
- tgt_alpha2: eo
- prefer_old: False
- long_pair: vie-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-vi-eo


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, vi, eo, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-af-sv


* source languages: af
* target languages: sv
* OPUS readme: [af-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/af-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-sv/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.af.sv 	| 40.4 	| 0.599 |


model name: opus-mt-af-sv


tags: pytorch, marian, text2text-generation, af, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-et-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.et.sv 	| 28.9 	| 0.513 |


model name: opus-mt-et-sv


tags: pytorch, marian, text2text-generation, et, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-lv-fr


* source languages: lv
* target languages: fr
* OPUS readme: [lv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lv.fr 	| 22.1 	| 0.437 |


model name: opus-mt-lv-fr


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lv, fr, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fr-ber


* source languages: fr
* target languages: ber
* OPUS readme: [fr-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ber 	| 37.2 	| 0.641 |


model name: opus-mt-fr-ber


tags: pytorch, marian, text2text-generation, fr, ber, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- zh
- it


- translation


## license: apache-2.0


### zho-ita