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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.st 	| 49.8 	| 0.665 |


model name: opus-mt-en-st


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-NORWAY


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.no 	| 34.2 	| 0.545 |


model name: opus-mt-fi-NORWAY


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


### opus-mt-fr-st


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.st 	| 34.6 	| 0.540 |


model name: opus-mt-fr-st


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


language:


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


- translation


## license: apache-2.0


### nic-eng


* source group: Niger-Kordofanian languages
* target group: English
* OPUS readme: [nic-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nic-eng/README.md)
* model: transformer
* source language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bam-eng.bam.eng 	| 2.4 	| 0.090 |
| Tatoeba-test.ewe-eng.ewe.eng 	| 10.3 	| 0.384 |
| Tatoeba-test.ful-eng.ful.eng 	| 1.2 	| 0.114 |
| Tatoeba-test.ibo-eng.ibo.eng 	| 7.5 	| 0.197 |
| Tatoeba-test.kin-eng.kin.eng 	| 30.7 	| 0.481 |
| Tatoeba-test.lin-eng.lin.eng 	| 3.1 	| 0.185 |
| Tatoeba-test.lug-eng.lug.eng 	| 3.1 	| 0.261 |
| Tatoeba-test.multi.eng 	| 21.3 	| 0.377 |
| Tatoeba-test.nya-eng.nya.eng 	| 31.6 	| 0.502 |
| Tatoeba-test.run-eng.run.eng 	| 24.9 	| 0.420 |
| Tatoeba-test.sag-eng.sag.eng 	| 5.2 	| 0.231 |
| Tatoeba-test.sna-eng.sna.eng 	| 20.1 	| 0.374 |
| Tatoeba-test.swa-eng.swa.eng 	| 4.6 	| 0.191 |
| Tatoeba-test.toi-eng.toi.eng 	| 4.8 	| 0.122 |
| Tatoeba-test.tso-eng.tso.eng 	| 100.0 	| 1.000 |
| Tatoeba-test.umb-eng.umb.eng 	| 9.0 	| 0.246 |
| Tatoeba-test.wol-eng.wol.eng 	| 14.0 	| 0.212 |
| Tatoeba-test.xho-eng.xho.eng 	| 38.2 	| 0.558 |
| Tatoeba-test.yor-eng.yor.eng 	| 21.2 	| 0.364 |
| Tatoeba-test.zul-eng.zul.eng 	| 42.3 	| 0.589 |


### System Info:


- hf_name: nic-eng
- source_languages: nic
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nic-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic', 'en']
- src_constituents: {'bam_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nic-eng/opus2m-2020-08-01.test.txt
- src_alpha3: nic
- tgt_alpha3: eng
- short_pair: nic-en
- chrF2_score: 0.377
- bleu: 21.3
- brevity_penalty: 1.0
- ref_len: 15228.0
- src_name: Niger-Kordofanian languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: nic
- tgt_alpha2: en
- prefer_old: False
- long_pair: nic-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-nic-en


model author: Helsinki-NLP


task: translation


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


- en
- ja


tags:


### en-ja


* source group: English
* target group: Japanese
* OPUS readme: [eng-jpn](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-jpn/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): jpn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus+bt-2021-04-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.zip)
* test set translations: [opus+bt-2021-04-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.test.txt)
* test set scores: [opus+bt-2021-04-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.eval.txt)


| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| Tatoeba-test.eng-jpn 	| 15.2 	| 0.258 	| 10000 	| 99206 	| 1.000 |


- hf_name: en-ja
- source_languages: eng
- target_languages: jpn
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-jpn/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ja']
- src_constituents: ('English', {'eng'})
- tgt_constituents: ('Japanese', {'jpn', 'jpn_Latn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hira', 'jpn_Hang', 'jpn_Bopo', 'jpn_Hani'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: eng-jpn
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.test.txt
- src_alpha3: eng
- tgt_alpha3: jpn
- chrF2_score: 0.258
- bleu: 15.2
- src_name: English
- tgt_name: Japanese
- train_date: 2021-04-10 00:00:00
- src_alpha2: en
- tgt_alpha2: ja
- prefer_old: False
- short_pair: en-ja
- helsinki_git_sha: 70b0a9621f054ef1d8ea81f7d55595d7f64d19ff
- transformers_git_sha: 12b4d66a80419db30a15e7b9d4208ceb9887c03b
- port_machine: LM0-400-22516.local
- port_time: 2021-10-12-11:13


model name: opus-tatoeba-en-ja


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


language:


- es
- mk


- translation


## license: apache-2.0


### spa-mkd


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.mkd 	| 48.2 	| 0.681 |


### System Info:


- hf_name: spa-mkd
- source_languages: spa
- target_languages: mkd
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'mk']
- src_constituents: {'spa'}
- tgt_constituents: {'mkd'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-mkd/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: mkd
- short_pair: es-mk
- chrF2_score: 0.6809999999999999
- bleu: 48.2
- brevity_penalty: 1.0
- ref_len: 1073.0
- src_name: Spanish
- tgt_name: Macedonian
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: mk
- prefer_old: False
- long_pair: spa-mkd
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-mk


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-sq


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.sq 	| 46.5 	| 0.669 |


model name: opus-mt-en-sq


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


### opus-mt-sv-tpi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tpi 	| 31.4 	| 0.513 |


model name: opus-mt-sv-tpi


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


### opus-mt-ve-es


* source languages: ve
* target languages: es
* OPUS readme: [ve-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-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/ve-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ve.es 	| 23.1 	| 0.413 |


model name: opus-mt-ve-es


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-xh


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.xh 	| 25.1 	| 0.523 |


model name: opus-mt-fr-xh


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


language:


- he
- ru


- translation


## license: apache-2.0


### he-ru


* source group: Hebrew
* target group: Russian
* OPUS readme: [heb-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-rus/README.md)
* model: transformer
* source language(s): heb
* target language(s): rus
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-10-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.zip)
* test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.test.txt)
* test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.rus 	| 40.5 	| 0.599 |


### System Info:


- hf_name: he-ru
- source_languages: heb
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'ru']
- src_constituents: ('Hebrew', {'heb'})
- tgt_constituents: ('Russian', {'rus'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: heb-rus
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.test.txt
- src_alpha3: heb
- tgt_alpha3: rus
- chrF2_score: 0.599
- bleu: 40.5
- brevity_penalty: 0.963
- ref_len: 16583.0
- src_name: Hebrew
- tgt_name: Russian
- train_date: 2020-10-04 00:00:00
- src_alpha2: he
- tgt_alpha2: ru
- prefer_old: False
- short_pair: he-ru
- helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
- transformers_git_sha: b0a907615aca0d728a9bc90f16caef0848f6a435
- port_machine: LM0-400-22516.local
- port_time: 2020-10-26-16:16


model name: opus-mt-he-ru


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-pl-es


* source languages: pl
* target languages: es
* OPUS readme: [pl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/pl-es/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-es/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-es/opus-2020-01-21.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.es 	| 46.9 	| 0.654 |


model name: opus-mt-pl-es


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


language:


- en
- tr


- translation


## license: apache-2.0


### en-tr


* source group: English
* target group: Turkish
* OPUS readme: [eng-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tur/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus+bt-2021-04-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tur/opus+bt-2021-04-10.zip)
* test set translations: [opus+bt-2021-04-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tur/opus+bt-2021-04-10.test.txt)
* test set scores: [opus+bt-2021-04-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tur/opus+bt-2021-04-10.eval.txt)


## Benchmarks


| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| newsdev2016-entr.eng-tur 	| 21.5 	| 0.575 	| 1001 	| 16127 	| 1.000 |
| newstest2016-entr.eng-tur 	| 21.4 	| 0.558 	| 3000 	| 50782 	| 0.986 |
| newstest2017-entr.eng-tur 	| 22.8 	| 0.572 	| 3007 	| 51977 	| 0.960 |
| newstest2018-entr.eng-tur 	| 20.8 	| 0.561 	| 3000 	| 53731 	| 0.963 |
| Tatoeba-test.eng-tur 	| 41.5 	| 0.684 	| 10000 	| 60469 	| 0.932 |


### System Info:


- hf_name: en-tr
- source_languages: eng
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'tr']
- src_constituents: ('English', {'eng'})
- tgt_constituents: ('Turkish', {'tur'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: eng-tur
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tur/opus+bt-2021-04-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tur/opus+bt-2021-04-10.test.txt
- src_alpha3: eng
- tgt_alpha3: tur
- chrF2_score: 0.684
- bleu: 41.5
- src_name: English
- tgt_name: Turkish
- train_date: 2021-04-10 00:00:00
- src_alpha2: en
- tgt_alpha2: tr
- prefer_old: False
- short_pair: en-tr
- helsinki_git_sha: a6bd0607aec9603811b2b635aec3f566f3add79d
- transformers_git_sha: 12b4d66a80419db30a15e7b9d4208ceb9887c03b
- port_machine: LM0-400-22516.local
- port_time: 2021-10-05-12:13


model name: opus-tatoeba-en-tr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ig-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ig.de 	| 20.1 	| 0.393 |


model name: opus-mt-ig-de


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


### opus-mt-sk-es


* source languages: sk
* target languages: es
* OPUS readme: [sk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sk.es 	| 29.6 	| 0.505 |


model name: opus-mt-sk-es


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


### opus-mt-lv-es


* source languages: lv
* target languages: es
* OPUS readme: [lv-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lv.es 	| 21.7 	| 0.433 |


model name: opus-mt-lv-es


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-pis


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.pis 	| 27.1 	| 0.484 |


model name: opus-mt-es-pis


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


### opus-mt-fi_nb_no_nn_ru_sv_en-SAMI


* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: [fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/README.md)
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus+giella-2020-04-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.zip)
* test set translations: [opus+giella-2020-04-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.test.txt)
* test set scores: [opus+giella-2020-04-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| giella.fi.sms 	| 58.4 	| 0.776 |


model name: opus-mt-fi_nb_no_nn_ru_sv_en-SAMI


tags: pytorch, marian, text2text-generation, fi, nb, no, nn, ru, sv, en, sami, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sv-tiv


* source languages: sv
* target languages: tiv
* OPUS readme: [sv-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tiv/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-tiv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tiv 	| 25.2 	| 0.439 |


model name: opus-mt-sv-tiv


model author: Helsinki-NLP


task: translation


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


language:


- cs
- eo


tags:


- translation


## license: apache-2.0


### ces-epo


* source group: Czech
* target group: Esperanto
* OPUS readme: [ces-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md)
* model: transformer-align
* source language(s): ces
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ces.epo 	| 26.0 	| 0.459 |


### System Info:


- hf_name: ces-epo
- source_languages: ces
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['cs', 'eo']
- src_constituents: {'ces'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt
- src_alpha3: ces
- tgt_alpha3: epo
- short_pair: cs-eo
- chrF2_score: 0.45899999999999996
- bleu: 26.0
- brevity_penalty: 0.94
- ref_len: 24901.0
- src_name: Czech
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: cs
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ces-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cs-eo


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


- translation
license: apache-2.0


### opus-mt-fr-id


* source languages: fr
* target languages: id
* OPUS readme: [fr-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-id/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-id/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.id 	| 37.2 	| 0.636 |


model name: opus-mt-fr-id


model author: Helsinki-NLP


task: translation


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


language:


- ca
- it


tags:


- translation


## license: apache-2.0


### cat-ita


* source group: Catalan
* target group: Italian
* OPUS readme: [cat-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md)
* model: transformer-align
* source language(s): cat
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.ita 	| 48.6 	| 0.690 |


### System Info:


- hf_name: cat-ita
- source_languages: cat
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'it']
- src_constituents: {'cat'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt
- src_alpha3: cat
- tgt_alpha3: ita
- short_pair: ca-it
- chrF2_score: 0.69
- bleu: 48.6
- brevity_penalty: 0.985
- ref_len: 1995.0
- src_name: Catalan
- tgt_name: Italian
- train_date: 2020-06-16
- src_alpha2: ca
- tgt_alpha2: it
- prefer_old: False
- long_pair: cat-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ca-it


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


- translation
license: apache-2.0


### opus-mt-en-ru


* source languages: en
* target languages: ru
* OPUS readme: [en-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.zip)
* test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.test.txt)
* test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012.en.ru 	| 31.1 	| 0.581 |
| newstest2013.en.ru 	| 23.5 	| 0.513 |
| newstest2015-enru.en.ru 	| 27.5 	| 0.564 |
| newstest2016-enru.en.ru 	| 26.4 	| 0.548 |
| newstest2017-enru.en.ru 	| 29.1 	| 0.572 |
| newstest2018-enru.en.ru 	| 25.4 	| 0.554 |
| newstest2019-enru.en.ru 	| 27.1 	| 0.533 |
| Tatoeba.en.ru 	| 48.4 	| 0.669 |


model name: opus-mt-en-ru


model author: Helsinki-NLP


task: translation


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


language:


- lt
- it


tags:


- translation


## license: apache-2.0


### lit-ita


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.ita 	| 42.2 	| 0.657 |


### System Info:


- hf_name: lit-ita
- source_languages: lit
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'it']
- src_constituents: {'lit'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: ita
- short_pair: lt-it
- chrF2_score: 0.657
- bleu: 42.2
- brevity_penalty: 0.9740000000000001
- ref_len: 1505.0
- src_name: Lithuanian
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: it
- prefer_old: False
- long_pair: lit-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-lt-it


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


- translation
license: apache-2.0


### opus-mt-ht-sv


* source languages: ht
* target languages: sv
* OPUS readme: [ht-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-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/ht-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-sv/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.sv 	| 27.9 	| 0.463 |


model name: opus-mt-ht-sv


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-swc-es


* source languages: swc
* target languages: es
* OPUS readme: [swc-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-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/swc-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.swc.es 	| 27.4 	| 0.458 |


model name: opus-mt-swc-es


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


### opus-mt-en-ht


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ht 	| 38.3 	| 0.545 |
| Tatoeba.en.ht 	| 45.2 	| 0.592 |


model name: opus-mt-en-ht


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


language:


- he
- eo


- translation


## license: apache-2.0


### heb-epo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.epo 	| 17.6 	| 0.348 |


### System Info:


- hf_name: heb-epo
- source_languages: heb
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'eo']
- src_constituents: {'heb'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.test.txt
- src_alpha3: heb
- tgt_alpha3: epo
- short_pair: he-eo
- chrF2_score: 0.348
- bleu: 17.6
- brevity_penalty: 0.899
- ref_len: 78217.0
- src_name: Hebrew
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: he
- tgt_alpha2: eo
- prefer_old: False
- long_pair: heb-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-he-eo


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-pag


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pag 	| 27.0 	| 0.486 |


model name: opus-mt-fr-pag


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


### opus-mt-ty-es


* source languages: ty
* target languages: es
* OPUS readme: [ty-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-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/ty-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ty.es 	| 27.3 	| 0.457 |


model name: opus-mt-ty-es


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


### opus-mt-lt-sv


* source languages: lt
* target languages: sv
* OPUS readme: [lt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-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/lt-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lt.sv 	| 22.9 	| 0.447 |


model name: opus-mt-lt-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ceb-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ceb.fr 	| 30.0 	| 0.491 |


model name: opus-mt-ceb-fr


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


### opus-mt-fj-fr


* source languages: fj
* target languages: fr
* OPUS readme: [fj-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-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/fj-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fj.fr 	| 24.0 	| 0.407 |


model name: opus-mt-fj-fr


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


language:


- en
- be
- ru
- uk
- zle


- translation


## license: apache-2.0


### eng-zle


* source group: English
* target group: East Slavic languages
* OPUS readme: [eng-zle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md)
* model: transformer
* source language(s): eng
* target language(s): bel bel_Latn orv_Cyrl rue 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: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012-engrus.eng.rus 	| 27.4 	| 0.550 |
| newstest2013-engrus.eng.rus 	| 21.4 	| 0.493 |
| newstest2015-enru-engrus.eng.rus 	| 24.2 	| 0.534 |
| newstest2016-enru-engrus.eng.rus 	| 23.3 	| 0.518 |
| newstest2017-enru-engrus.eng.rus 	| 25.3 	| 0.541 |
| newstest2018-enru-engrus.eng.rus 	| 22.4 	| 0.527 |
| newstest2019-enru-engrus.eng.rus 	| 24.1 	| 0.505 |
| Tatoeba-test.eng-bel.eng.bel 	| 20.8 	| 0.471 |
| Tatoeba-test.eng.multi 	| 37.2 	| 0.580 |
| Tatoeba-test.eng-orv.eng.orv 	| 0.6 	| 0.130 |
| Tatoeba-test.eng-rue.eng.rue 	| 1.4 	| 0.168 |
| Tatoeba-test.eng-rus.eng.rus 	| 41.3 	| 0.616 |
| Tatoeba-test.eng-ukr.eng.ukr 	| 38.7 	| 0.596 |


### System Info:


- hf_name: eng-zle
- source_languages: eng
- target_languages: zle
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'be', 'ru', 'uk', 'zle']
- src_constituents: {'eng'}
- tgt_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zle
- short_pair: en-zle
- chrF2_score: 0.58
- bleu: 37.2
- brevity_penalty: 0.9890000000000001
- ref_len: 63493.0
- src_name: English
- tgt_name: East Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zle
- prefer_old: False
- long_pair: eng-zle
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-zle


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-ng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ng 	| 24.8 	| 0.496 |


model name: opus-mt-en-ng


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


### opus-mt-ee-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.fr 	| 27.1 	| 0.450 |


model name: opus-mt-ee-fr


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


### opus-mt-st-sv


* source languages: st
* target languages: sv
* OPUS readme: [st-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-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/st-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-sv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.st.sv 	| 33.5 	| 0.523 |


model name: opus-mt-st-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-om


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.om 	| 21.8 	| 0.498 |


model name: opus-mt-en-om


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


language:


- sv
- eo


- translation


## license: apache-2.0


### swe-epo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.swe.epo 	| 29.7 	| 0.498 |


### System Info:


- hf_name: swe-epo
- source_languages: swe
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sv', 'eo']
- src_constituents: {'swe'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-epo/opus-2020-06-16.test.txt
- src_alpha3: swe
- tgt_alpha3: epo
- short_pair: sv-eo
- chrF2_score: 0.498
- bleu: 29.7
- brevity_penalty: 0.958
- ref_len: 10987.0
- src_name: Swedish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: sv
- tgt_alpha2: eo
- prefer_old: False
- long_pair: swe-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sv-eo


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-sv


* source languages: fi
* target languages: sv
* OPUS readme: [fi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sv/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-04-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.zip)
* test set translations: [opus+bt-2020-04-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.test.txt)
* test set scores: [opus+bt-2020-04-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| fiskmo_testset.fi.sv 	| 27.4 	| 0.605 |
| Tatoeba.fi.sv 	| 54.7 	| 0.709 |


model name: opus-mt-fi-sv


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


### opus-mt-sv-sl


* source languages: sv
* target languages: sl
* OPUS readme: [sv-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-sl/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-sl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-sl/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sl 	| 25.1 	| 0.487 |


model name: opus-mt-sv-sl


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


language:


- vi
- en


- translation


## license: apache-2.0


### vie-eng


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.eng 	| 42.8 	| 0.608 |


### System Info:


- hf_name: vie-eng
- source_languages: vie
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'en']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: eng
- short_pair: vi-en
- chrF2_score: 0.608
- bleu: 42.8
- brevity_penalty: 0.955
- ref_len: 20241.0
- src_name: Vietnamese
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: en
- prefer_old: False
- long_pair: vie-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-vi-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sg-sv


* source languages: sg
* target languages: sv
* OPUS readme: [sg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sg.sv 	| 25.3 	| 0.428 |


model name: opus-mt-sg-sv


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


### opus-mt-sv-efi


* source languages: sv
* target languages: efi
* OPUS readme: [sv-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-efi/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-efi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-efi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-efi/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.efi 	| 29.4 	| 0.502 |


model name: opus-mt-sv-efi


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


language:


- nl
- ca


- translation


## license: apache-2.0


### nld-cat


* source group: Dutch
* target group: Catalan
* OPUS readme: [nld-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-cat/README.md)
* model: transformer-align
* source language(s): nld
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.cat 	| 42.1 	| 0.624 |


### System Info:


- hf_name: nld-cat
- source_languages: nld
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'ca']
- src_constituents: {'nld'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-cat/opus-2020-06-16.test.txt
- src_alpha3: nld
- tgt_alpha3: cat
- short_pair: nl-ca
- chrF2_score: 0.624
- bleu: 42.1
- brevity_penalty: 0.988
- ref_len: 3942.0
- src_name: Dutch
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: nl
- tgt_alpha2: ca
- prefer_old: False
- long_pair: nld-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-nl-ca


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-mos-en


* source languages: mos
* target languages: en
* OPUS readme: [mos-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mos-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mos.en 	| 26.1 	| 0.408 |


model name: opus-mt-mos-en


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


language:


- en
- id
- cpp


- translation


## license: apache-2.0


### eng-cpp


* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: [eng-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md)
* model: transformer
* source language(s): eng
* target language(s): ind max_Latn min pap tmw_Latn 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-msa.eng.msa 	| 32.6 	| 0.573 |
| Tatoeba-test.eng.multi 	| 32.7 	| 0.574 |
| Tatoeba-test.eng-pap.eng.pap 	| 42.5 	| 0.633 |


### System Info:


- hf_name: eng-cpp
- source_languages: eng
- target_languages: cpp
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'id', 'cpp']
- src_constituents: {'eng'}
- tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cpp
- short_pair: en-cpp
- chrF2_score: 0.574
- bleu: 32.7
- brevity_penalty: 0.996
- ref_len: 34010.0
- src_name: English
- tgt_name: Creoles and pidgins, Portuguese-based
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cpp
- prefer_old: False
- long_pair: eng-cpp
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-cpp


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-ru


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012.es.ru 	| 20.9 	| 0.489 |
| newstest2013.es.ru 	| 23.4 	| 0.504 |
| Tatoeba.es.ru 	| 47.0 	| 0.657 |


model name: opus-mt-es-ru


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


language:


- no
- nl


- translation


## license: apache-2.0


### nor-nld


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.nld 	| 40.2 	| 0.596 |


### System Info:


- hf_name: nor-nld
- source_languages: nor
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'nl']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nld/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nld/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: nld
- short_pair: no-nl
- chrF2_score: 0.596
- bleu: 40.2
- brevity_penalty: 0.9590000000000001
- ref_len: 1535.0
- src_name: Norwegian
- tgt_name: Dutch
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: nl
- prefer_old: False
- long_pair: nor-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-nl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sm-fr


* source languages: sm
* target languages: fr
* OPUS readme: [sm-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-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/sm-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sm.fr 	| 24.6 	| 0.419 |


model name: opus-mt-sm-fr


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


### opus-mt-et-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.et.es 	| 27.2 	| 0.490 |


model name: opus-mt-et-es


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


### opus-mt-tn-sv


* source languages: tn
* target languages: sv
* OPUS readme: [tn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-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/tn-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-sv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tn.sv 	| 32.0 	| 0.508 |


model name: opus-mt-tn-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-bem


* source languages: fr
* target languages: bem
* OPUS readme: [fr-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bem/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-bem/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bem 	| 22.8 	| 0.456 |


model name: opus-mt-fr-bem


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


language:


- en
- hi


- translation


## license: apache-2.0


### eng-hin


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014.eng.hin 	| 6.9 	| 0.296 |
| newstest2014-hien.eng.hin 	| 9.9 	| 0.323 |
| Tatoeba-test.eng.hin 	| 16.1 	| 0.447 |


### System Info:


- hf_name: eng-hin
- source_languages: eng
- target_languages: hin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hi']
- src_constituents: {'eng'}
- tgt_constituents: {'hin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: hin
- short_pair: en-hi
- chrF2_score: 0.447
- bleu: 16.1
- brevity_penalty: 1.0
- ref_len: 32904.0
- src_name: English
- tgt_name: Hindi
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: hi
- prefer_old: False
- long_pair: eng-hin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-hi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-pl-de


* source languages: pl
* target languages: de
* OPUS readme: [pl-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.de 	| 47.8 	| 0.665 |


model name: opus-mt-pl-de


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


### opus-mt-fi-rw


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.rw 	| 25.3 	| 0.509 |


model name: opus-mt-fi-rw


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


language:


- id
- cpp
- en


- translation


## license: apache-2.0


### cpp-eng


* source group: Creoles and pidgins, Portuguese-based
* target group: English
* OPUS readme: [cpp-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md)
* model: transformer
* source language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.msa-eng.msa.eng 	| 39.6 	| 0.580 |
| Tatoeba-test.multi.eng 	| 39.7 	| 0.580 |
| Tatoeba-test.pap-eng.pap.eng 	| 49.1 	| 0.579 |


### System Info:


- hf_name: cpp-eng
- source_languages: cpp
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['id', 'cpp', 'en']
- src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt
- src_alpha3: cpp
- tgt_alpha3: eng
- short_pair: cpp-en
- chrF2_score: 0.58
- bleu: 39.7
- brevity_penalty: 0.972
- ref_len: 37399.0
- src_name: Creoles and pidgins, Portuguese-based
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: cpp
- tgt_alpha2: en
- prefer_old: False
- long_pair: cpp-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cpp-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-wls


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.wls 	| 27.5 	| 0.478 |


model name: opus-mt-fr-wls


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


language:


- eo
- bg


- translation


## license: apache-2.0


### epo-bul


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.bul 	| 19.0 	| 0.395 |


### System Info:


- hf_name: epo-bul
- source_languages: epo
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'bg']
- src_constituents: {'epo'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: bul
- short_pair: eo-bg
- chrF2_score: 0.395
- bleu: 19.0
- brevity_penalty: 0.8909999999999999
- ref_len: 3961.0
- src_name: Esperanto
- tgt_name: Bulgarian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: bg
- prefer_old: False
- long_pair: epo-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-bg


model author: Helsinki-NLP


task: translation


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


- it
- eo


tags:


### ita-epo


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.epo 	| 28.2 	| 0.500 |


- hf_name: ita-epo
- source_languages: ita
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'eo']
- src_constituents: {'ita'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.test.txt
- src_alpha3: ita
- tgt_alpha3: epo
- short_pair: it-eo
- chrF2_score: 0.5
- bleu: 28.2
- brevity_penalty: 0.9570000000000001
- ref_len: 67846.0
- src_name: Italian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: it
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ita-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-eo


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


- translation
license: apache-2.0


### opus-mt-tvl-fr


* source languages: tvl
* target languages: fr
* OPUS readme: [tvl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-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/tvl-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.fr 	| 24.0 	| 0.410 |


model name: opus-mt-tvl-fr


model author: Helsinki-NLP


task: translation


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


### opus-mt-de-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.de 	| 32.2 	| 0.590 |
| newssyscomb2009.de.fr 	| 26.8 	| 0.553 |
| news-test2008.de.fr 	| 26.4 	| 0.548 |
| newstest2009.de.fr 	| 25.6 	| 0.539 |
| newstest2010.de.fr 	| 29.1 	| 0.572 |
| newstest2011.de.fr 	| 26.9 	| 0.551 |
| newstest2012.de.fr 	| 27.7 	| 0.554 |
| newstest2013.de.fr 	| 29.5 	| 0.560 |
| newstest2019-defr.de.fr 	| 36.6 	| 0.625 |
| Tatoeba.de.fr 	| 49.2 	| 0.664 |


model name: opus-mt-de-fr


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


language:


- nl
- af


tags:


- translation


## license: apache-2.0


### nld-afr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.afr 	| 57.8 	| 0.749 |


### System Info:


- hf_name: nld-afr
- source_languages: nld
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'af']
- src_constituents: {'nld'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-afr/opus-2020-06-17.test.txt
- src_alpha3: nld
- tgt_alpha3: afr
- short_pair: nl-af
- chrF2_score: 0.7490000000000001
- bleu: 57.8
- brevity_penalty: 1.0
- ref_len: 6823.0
- src_name: Dutch
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: nl
- tgt_alpha2: af
- prefer_old: False
- long_pair: nld-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-nl-af


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-fi-guw


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.guw 	| 32.4 	| 0.527 |


model name: opus-mt-fi-guw


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


tags:


### opus-mt-xh-en


* source languages: xh
* target languages: en
* OPUS readme: [xh-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/xh-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/xh-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-en/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.xh.en 	| 45.8 	| 0.610 |


model name: opus-mt-xh-en


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


### opus-mt-pl-fr


* source languages: pl
* target languages: fr
* OPUS readme: [pl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-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/pl-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-fr/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.fr 	| 49.0 	| 0.659 |


model name: opus-mt-pl-fr


model author: Helsinki-NLP


task: translation


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


## license: apache-2.0


model name: opus-mt-he-fr


tags: he, fr, license:apache-2.0


tags:


- translation
license: apache-2.0


### opus-mt-gil-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.en 	| 36.0 	| 0.522 |


model name: opus-mt-gil-en


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


language:


- ja
- ar


- translation


### jpn-ara


* source group: Japanese
* target group: Arabic
* OPUS readme: [jpn-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ara/README.md)
* model: transformer-align
* source language(s): jpn_Hani jpn_Hira jpn_Kana
* target language(s): acm apc ara arq arz
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.ara 	| 11.6 	| 0.394 |


### System Info:


- hf_name: jpn-ara
- source_languages: jpn
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ar']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- 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/jpn-ara/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-ara/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: ara
- short_pair: ja-ar
- chrF2_score: 0.39399999999999996
- bleu: 11.6
- brevity_penalty: 1.0
- ref_len: 7089.0
- src_name: Japanese
- tgt_name: Arabic
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ar
- prefer_old: False
- long_pair: jpn-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-ar


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-pa-en


* source languages: pa
* target languages: en
* OPUS readme: [pa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pa-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/pa-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pa-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pa-en/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pa.en 	| 20.6 	| 0.320 |
| Tatoeba.pa.en 	| 29.3 	| 0.464 |


model name: opus-mt-pa-en


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


language:


- bn
- en


- translation


## license: apache-2.0


### ben-eng


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ben.eng 	| 49.7 	| 0.641 |


### System Info:


- hf_name: ben-eng
- source_languages: ben
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ben-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bn', 'en']
- src_constituents: {'ben'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ben-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ben-eng/opus-2020-06-17.test.txt
- src_alpha3: ben
- tgt_alpha3: eng
- short_pair: bn-en
- chrF2_score: 0.6409999999999999
- bleu: 49.7
- brevity_penalty: 0.976
- ref_len: 13978.0
- src_name: Bengali
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: bn
- tgt_alpha2: en
- prefer_old: False
- long_pair: ben-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bn-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-loz