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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.loz 	| 30.0 	| 0.498 |


model name: opus-mt-fr-loz


model author: Helsinki-NLP


task: translation


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


language:


- ar
- el


tags:


- translation


## license: apache-2.0


### ara-ell


* source group: Arabic
* target group: Modern Greek (1453-)
* OPUS readme: [ara-ell](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-ell/README.md)
* model: transformer-align
* source language(s): ara arz
* target language(s): ell
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.ell 	| 43.9 	| 0.636 |


### System Info:


- hf_name: ara-ell
- source_languages: ara
- target_languages: ell
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-ell/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'el']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'ell'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-ell/opus-2020-07-03.test.txt
- src_alpha3: ara
- tgt_alpha3: ell
- short_pair: ar-el
- chrF2_score: 0.636
- bleu: 43.9
- brevity_penalty: 0.993
- ref_len: 2009.0
- src_name: Arabic
- tgt_name: Modern Greek (1453-)
- train_date: 2020-07-03
- src_alpha2: ar
- tgt_alpha2: el
- prefer_old: False
- long_pair: ara-ell
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-el


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


- translation
license: apache-2.0


### opus-mt-el-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.el.fi 	| 25.3 	| 0.517 |


model name: opus-mt-el-fi


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-fi-he


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.he 	| 20.7 	| 0.424 |


model name: opus-mt-fi-he


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


### opus-mt-fi-ro


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ro 	| 27.0 	| 0.490 |


model name: opus-mt-fi-ro


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


- translation
license: apache-2.0


### opus-mt-sv-cs


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.cs 	| 27.5 	| 0.488 |


model name: opus-mt-sv-cs


model author: Helsinki-NLP


task: translation


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


language:


- fi
- en


tags:


- translation


## license: apache-2.0


### fi-en


* source group: Finnish
* target group: English
* OPUS readme: [fin-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md)
* model: transformer-align
* source language(s): fin
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opusTCv20210807+bt-2021-08-25.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opusTCv20210807+bt-2021-08-25.zip)
* test set translations: [opusTCv20210807+bt-2021-08-25.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opusTCv20210807+bt-2021-08-25.test.txt)
* test set scores: [opusTCv20210807+bt-2021-08-25.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opusTCv20210807+bt-2021-08-25.eval.txt)


| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| newsdev2015-enfi.fin-eng 	| 27.1 	| 0.550 	| 1500 	| 32104 	| 0.988 |
| newstest2015-enfi.fin-eng 	| 28.5 	| 0.560 	| 1370 	| 27356 	| 0.980 |
| newstest2016-enfi.fin-eng 	| 31.7 	| 0.586 	| 3000 	| 63043 	| 1.000 |
| newstest2017-enfi.fin-eng 	| 34.6 	| 0.610 	| 3002 	| 61936 	| 0.988 |
| newstest2018-enfi.fin-eng 	| 25.4 	| 0.530 	| 3000 	| 62325 	| 0.981 |
| newstest2019-fien.fin-eng 	| 30.6 	| 0.577 	| 1996 	| 36227 	| 0.994 |
| newstestB2016-enfi.fin-eng 	| 25.8 	| 0.538 	| 3000 	| 63043 	| 0.987 |
| newstestB2017-enfi.fin-eng 	| 29.6 	| 0.572 	| 3002 	| 61936 	| 0.999 |
| newstestB2017-fien.fin-eng 	| 29.6 	| 0.572 	| 3002 	| 61936 	| 0.999 |
| Tatoeba-test-v2021-08-07.fin-eng 	| 54.1 	| 0.700 	| 10000 	| 75212 	| 0.988 |


### System Info:


- hf_name: fi-en
- source_languages: fin
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fi', 'en']
- src_constituents: ('Finnish', {'fin'})
- tgt_constituents: ('English', {'eng'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: fin-eng
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opusTCv20210807+bt-2021-08-25.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opusTCv20210807+bt-2021-08-25.test.txt
- src_alpha3: fin
- tgt_alpha3: eng
- chrF2_score: 0.7
- bleu: 54.1
- src_name: Finnish
- tgt_name: English
- train_date: 2021-08-25 00:00:00
- src_alpha2: fi
- tgt_alpha2: en
- prefer_old: False
- short_pair: fi-en
- helsinki_git_sha: 2ef219d5b67f0afb0c6b732cd07001d84181f002
- transformers_git_sha: 12b4d66a80419db30a15e7b9d4208ceb9887c03b
- port_machine: LM0-400-22516.local
- port_time: 2021-11-04-21:36


model name: opus-tatoeba-fi-en


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


- translation
license: apache-2.0


### opus-mt-sv-guw


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.guw 	| 33.5 	| 0.531 |


model name: opus-mt-sv-guw


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-kwy-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.en 	| 31.6 	| 0.466 |


model name: opus-mt-kwy-en


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


### opus-mt-fi-toi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.toi 	| 22.0 	| 0.509 |


model name: opus-mt-fi-toi


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


language:


- be
- ru
- uk
- zle
- en


- translation


## license: apache-2.0


### zle-eng


* source group: East Slavic languages
* target group: English
* OPUS readme: [zle-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-eng/README.md)
* model: transformer
* source language(s): bel bel_Latn orv_Cyrl rue rus ukr
* 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/zle-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012-ruseng.rus.eng 	| 31.1 	| 0.579 |
| newstest2013-ruseng.rus.eng 	| 24.9 	| 0.522 |
| newstest2014-ruen-ruseng.rus.eng 	| 27.9 	| 0.563 |
| newstest2015-enru-ruseng.rus.eng 	| 26.8 	| 0.541 |
| newstest2016-enru-ruseng.rus.eng 	| 25.8 	| 0.535 |
| newstest2017-enru-ruseng.rus.eng 	| 29.1 	| 0.561 |
| newstest2018-enru-ruseng.rus.eng 	| 25.4 	| 0.537 |
| newstest2019-ruen-ruseng.rus.eng 	| 26.8 	| 0.545 |
| Tatoeba-test.bel-eng.bel.eng 	| 38.3 	| 0.569 |
| Tatoeba-test.multi.eng 	| 50.1 	| 0.656 |
| Tatoeba-test.orv-eng.orv.eng 	| 6.9 	| 0.217 |
| Tatoeba-test.rue-eng.rue.eng 	| 15.4 	| 0.345 |
| Tatoeba-test.rus-eng.rus.eng 	| 52.5 	| 0.674 |
| Tatoeba-test.ukr-eng.ukr.eng 	| 52.1 	| 0.673 |


### System Info:


- hf_name: zle-eng
- source_languages: zle
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'ru', 'uk', 'zle', 'en']
- src_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.test.txt
- src_alpha3: zle
- tgt_alpha3: eng
- short_pair: zle-en
- chrF2_score: 0.6559999999999999
- bleu: 50.1
- brevity_penalty: 0.97
- ref_len: 69599.0
- src_name: East Slavic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: zle
- tgt_alpha2: en
- prefer_old: False
- long_pair: zle-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zle-en


model author: Helsinki-NLP


task: translation


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


- en
- sit


tags:


### eng-sit


* source group: English
* target group: Sino-Tibetan languages
* OPUS readme: [eng-sit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md)
* model: transformer
* source language(s): eng
* target language(s): bod brx brx_Latn cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans mya nan wuu yue yue_Hans yue_Hant zho zho_Hans zho_Hant
* 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-sit/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enzh-engzho.eng.zho 	| 23.5 	| 0.217 |
| newstest2017-enzh-engzho.eng.zho 	| 23.2 	| 0.223 |
| newstest2018-enzh-engzho.eng.zho 	| 25.0 	| 0.230 |
| newstest2019-enzh-engzho.eng.zho 	| 20.2 	| 0.225 |
| Tatoeba-test.eng-bod.eng.bod 	| 0.4 	| 0.147 |
| Tatoeba-test.eng-brx.eng.brx 	| 0.5 	| 0.012 |
| Tatoeba-test.eng.multi 	| 25.7 	| 0.223 |
| Tatoeba-test.eng-mya.eng.mya 	| 0.2 	| 0.222 |
| Tatoeba-test.eng-zho.eng.zho 	| 29.2 	| 0.249 |


- hf_name: eng-sit
- source_languages: eng
- target_languages: sit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sit']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sit
- short_pair: en-sit
- chrF2_score: 0.223
- bleu: 25.7
- brevity_penalty: 0.907
- ref_len: 109538.0
- src_name: English
- tgt_name: Sino-Tibetan languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sit
- prefer_old: False
- long_pair: eng-sit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-sit


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


- translation
license: apache-2.0


### opus-mt-fi-ilo


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ilo 	| 32.1 	| 0.558 |


model name: opus-mt-fi-ilo


model author: Helsinki-NLP


task: translation


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


### opus-mt-fi-mfe


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mfe 	| 22.6 	| 0.426 |


model name: opus-mt-fi-mfe


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


tags:


### opus-mt-ko-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ko.sv 	| 26.5 	| 0.468 |


model name: opus-mt-ko-sv


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


- translation
license: apache-2.0


### opus-mt-fr-ase


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ase 	| 38.5 	| 0.545 |


model name: opus-mt-fr-ase


model author: Helsinki-NLP


task: translation


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


### opus-mt-fi-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.fi 	| 23.3 	| 0.554 |


model name: opus-mt-fi-fi


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


tags:


### opus-mt-fi-nl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.nl 	| 30.5 	| 0.557 |


model name: opus-mt-fi-nl


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


- translation
license: apache-2.0


### opus-mt-fr-bcl


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bcl 	| 35.9 	| 0.566 |


model name: opus-mt-fr-bcl


model author: Helsinki-NLP


task: translation


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


language:


- nl
- no


tags:


- translation


## license: apache-2.0


### nld-nor


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.nor 	| 36.1 	| 0.562 |


### System Info:


- hf_name: nld-nor
- source_languages: nld
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'no']
- src_constituents: {'nld'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-nor/opus-2020-06-17.test.txt
- src_alpha3: nld
- tgt_alpha3: nor
- short_pair: nl-no
- chrF2_score: 0.562
- bleu: 36.1
- brevity_penalty: 0.966
- ref_len: 1459.0
- src_name: Dutch
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: nl
- tgt_alpha2: no
- prefer_old: False
- long_pair: nld-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-nl-no


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


- translation
license: apache-2.0


### opus-mt-sv-kg


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.kg 	| 30.7 	| 0.538 |


model name: opus-mt-sv-kg


model author: Helsinki-NLP


task: translation


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


language:


- en
- vi
- km
- aav


tags:


- translation


## license: apache-2.0


### eng-aav


* source group: English
* target group: Austro-Asiatic languages
* OPUS readme: [eng-aav](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md)
* model: transformer
* source language(s): eng
* target language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-hoc.eng.hoc 	| 0.1 	| 0.033 |
| Tatoeba-test.eng-kha.eng.kha 	| 0.4 	| 0.043 |
| Tatoeba-test.eng-khm.eng.khm 	| 0.2 	| 0.242 |
| Tatoeba-test.eng-mnw.eng.mnw 	| 0.8 	| 0.003 |
| Tatoeba-test.eng.multi 	| 16.1 	| 0.311 |
| Tatoeba-test.eng-vie.eng.vie 	| 33.2 	| 0.508 |


### System Info:


- hf_name: eng-aav
- source_languages: eng
- target_languages: aav
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi', 'km', 'aav']
- src_constituents: {'eng'}
- tgt_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: aav
- short_pair: en-aav
- chrF2_score: 0.311
- bleu: 16.1
- brevity_penalty: 1.0
- ref_len: 38261.0
- src_name: English
- tgt_name: Austro-Asiatic languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: aav
- prefer_old: False
- long_pair: eng-aav
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-aav


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


- translation
license: apache-2.0


### opus-mt-ee-es


* source languages: ee
* target languages: es
* OPUS readme: [ee-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.es 	| 26.4 	| 0.449 |


model name: opus-mt-ee-es


model author: Helsinki-NLP


task: translation


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


language:


- de
- no


tags:


- translation


## license: apache-2.0


### deu-nor


* source group: German
* target group: Norwegian
* OPUS readme: [deu-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.nor 	| 33.2 	| 0.554 |


### System Info:


- hf_name: deu-nor
- source_languages: deu
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'no']
- src_constituents: {'deu'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: nor
- short_pair: de-no
- chrF2_score: 0.5539999999999999
- bleu: 33.2
- brevity_penalty: 0.956
- ref_len: 32928.0
- src_name: German
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: no
- prefer_old: False
- long_pair: deu-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-no


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


- translation
license: apache-2.0


### opus-mt-rnd-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rnd.fr 	| 22.1 	| 0.392 |


model name: opus-mt-rnd-fr


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-tiv-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tiv.sv 	| 23.7 	| 0.416 |


model name: opus-mt-tiv-sv


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


### opus-mt-es-eo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.eo 	| 44.7 	| 0.657 |


model name: opus-mt-es-eo


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


- translation
license: apache-2.0


### opus-mt-es-ho


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ho 	| 22.8 	| 0.463 |


model name: opus-mt-es-ho


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-es-ee


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ee 	| 25.6 	| 0.470 |


model name: opus-mt-es-ee


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


### opus-mt-nso-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.es 	| 29.5 	| 0.485 |


model name: opus-mt-nso-es


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


language:


- ceb
- en


- translation


## license: apache-2.0


### ceb-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ceb.eng 	| 21.5 	| 0.387 |


### System Info:


- hf_name: ceb-eng
- source_languages: ceb
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ceb', 'en']
- src_constituents: {'ceb'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.test.txt
- src_alpha3: ceb
- tgt_alpha3: eng
- short_pair: ceb-en
- chrF2_score: 0.387
- bleu: 21.5
- brevity_penalty: 1.0
- ref_len: 2293.0
- src_name: Cebuano
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ceb
- tgt_alpha2: en
- prefer_old: False
- long_pair: ceb-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ceb-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-rnd


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.rnd 	| 20.3 	| 0.433 |


model name: opus-mt-sv-rnd


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


### opus-mt-de-pap


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.pap 	| 25.6 	| 0.453 |


model name: opus-mt-de-pap


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


### opus-mt-es-sm


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.sm 	| 25.5 	| 0.450 |


model name: opus-mt-es-sm


model author: Helsinki-NLP


task: translation


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


language:


- sv
- no


tags:


- translation


## license: apache-2.0


### swe-nor


* source group: Swedish
* target group: Norwegian
* OPUS readme: [swe-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-nor/README.md)
* model: transformer-align
* source language(s): swe
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.swe.nor 	| 65.8 	| 0.796 |


### System Info:


- hf_name: swe-nor
- source_languages: swe
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sv', 'no']
- src_constituents: {'swe'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.test.txt
- src_alpha3: swe
- tgt_alpha3: nor
- short_pair: sv-no
- chrF2_score: 0.7959999999999999
- bleu: 65.8
- brevity_penalty: 0.991
- ref_len: 3682.0
- src_name: Swedish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: sv
- tgt_alpha2: no
- prefer_old: False
- long_pair: swe-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sv-no


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


- translation
license: apache-2.0


### opus-mt-en-sg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.sg 	| 37.0 	| 0.544 |


model name: opus-mt-en-sg


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-en-de


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.de 	| 23.5 	| 0.540 |
| news-test2008.en.de 	| 23.5 	| 0.529 |
| newstest2009.en.de 	| 22.3 	| 0.530 |
| newstest2010.en.de 	| 24.9 	| 0.544 |
| newstest2011.en.de 	| 22.5 	| 0.524 |
| newstest2012.en.de 	| 23.0 	| 0.525 |
| newstest2013.en.de 	| 26.9 	| 0.553 |
| newstest2015-ende.en.de 	| 31.1 	| 0.594 |
| newstest2016-ende.en.de 	| 37.0 	| 0.636 |
| newstest2017-ende.en.de 	| 29.9 	| 0.586 |
| newstest2018-ende.en.de 	| 45.2 	| 0.690 |
| newstest2019-ende.en.de 	| 40.9 	| 0.654 |
| Tatoeba.en.de 	| 47.3 	| 0.664 |


model name: opus-mt-en-de


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


### opus-mt-es-cs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.cs 	| 46.4 	| 0.655 |


model name: opus-mt-es-cs


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


- translation
license: apache-2.0


### opus-mt-sk-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sk.fr 	| 29.4 	| 0.508 |


model name: opus-mt-sk-fr


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-is-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.is.fr 	| 25.0 	| 0.437 |


model name: opus-mt-is-fr


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


### opus-mt-de-mt


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.mt 	| 25.0 	| 0.436 |


model name: opus-mt-de-mt


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


- translation
license: apache-2.0


### opus-mt-sv-tll


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tll 	| 24.9 	| 0.484 |


model name: opus-mt-sv-tll


model author: Helsinki-NLP


task: translation


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


language:


- ar
- tr


tags:


- translation


## license: apache-2.0


### ara-tur


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.tur 	| 33.1 	| 0.619 |


### System Info:


- hf_name: ara-tur
- source_languages: ara
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'tr']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-tur/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-tur/opus-2020-07-03.test.txt
- src_alpha3: ara
- tgt_alpha3: tur
- short_pair: ar-tr
- chrF2_score: 0.619
- bleu: 33.1
- brevity_penalty: 0.9570000000000001
- ref_len: 6949.0
- src_name: Arabic
- tgt_name: Turkish
- train_date: 2020-07-03
- src_alpha2: ar
- tgt_alpha2: tr
- prefer_old: False
- long_pair: ara-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-tr


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


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


### eng-sem


* source group: English
* target group: Semitic languages
* OPUS readme: [eng-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb amh apc ara arq ary arz heb mlt tir
* 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-sem/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-amh.eng.amh 	| 11.2 	| 0.480 |
| Tatoeba-test.eng-ara.eng.ara 	| 12.7 	| 0.417 |
| Tatoeba-test.eng-heb.eng.heb 	| 33.8 	| 0.564 |
| Tatoeba-test.eng-mlt.eng.mlt 	| 18.7 	| 0.554 |
| Tatoeba-test.eng.multi 	| 23.5 	| 0.486 |
| Tatoeba-test.eng-tir.eng.tir 	| 2.7 	| 0.248 |


- hf_name: eng-sem
- source_languages: eng
- target_languages: sem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'mt', 'ar', 'he', 'ti', 'am', 'sem']
- src_constituents: {'eng'}
- tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sem
- short_pair: en-sem
- chrF2_score: 0.486
- bleu: 23.5
- brevity_penalty: 1.0
- ref_len: 59258.0
- src_name: English
- tgt_name: Semitic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sem
- prefer_old: False
- long_pair: eng-sem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-sem


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-efi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.efi 	| 26.6 	| 0.482 |


model name: opus-mt-fi-efi


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


### opus-mt-sv-toi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.toi 	| 23.2 	| 0.512 |


model name: opus-mt-sv-toi


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


language:


- ca
- de


- translation


## license: apache-2.0


### cat-deu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.deu 	| 39.5 	| 0.593 |


### System Info:


- hf_name: cat-deu
- source_languages: cat
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'de']
- src_constituents: {'cat'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-deu/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-deu/opus-2020-06-16.test.txt
- src_alpha3: cat
- tgt_alpha3: deu
- short_pair: ca-de
- chrF2_score: 0.593
- bleu: 39.5
- brevity_penalty: 1.0
- ref_len: 5643.0
- src_name: Catalan
- tgt_name: German
- train_date: 2020-06-16
- src_alpha2: ca
- tgt_alpha2: de
- prefer_old: False
- long_pair: cat-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ca-de


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ty-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ty.sv 	| 28.9 	| 0.472 |


model name: opus-mt-ty-sv


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


### opus-mt-sv-ro


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ro 	| 29.5 	| 0.510 |


model name: opus-mt-sv-ro


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


### opus-mt-sv-ZH


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.sv.zh 	| 24.2 	| 0.342 |


model name: opus-mt-sv-ZH


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-kwy


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.kwy 	| 33.6 	| 0.543 |


model name: opus-mt-en-kwy


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


language:


- he
- it


- translation


## license: apache-2.0


### he-it


* source group: Hebrew
* target group: Italian
* OPUS readme: [heb-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ita/README.md)
* model: transformer
* source language(s): heb
* target language(s): ita
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.ita 	| 41.1 	| 0.643 |


### System Info:


- hf_name: he-it
- source_languages: heb
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'it']
- src_constituents: ('Hebrew', {'heb'})
- tgt_constituents: ('Italian', {'ita'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: heb-ita
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.test.txt
- src_alpha3: heb
- tgt_alpha3: ita
- chrF2_score: 0.643
- bleu: 41.1
- brevity_penalty: 0.997
- ref_len: 11464.0
- src_name: Hebrew
- tgt_name: Italian
- train_date: 2020-12-10 00:00:00
- src_alpha2: he
- tgt_alpha2: it
- prefer_old: False
- short_pair: he-it
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-11:50


model name: opus-mt-he-it


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-bzs-en


* source languages: bzs
* target languages: en
* OPUS readme: [bzs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/bzs-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-en/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.en 	| 44.5 	| 0.605 |


model name: opus-mt-bzs-en


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


language:


- eu
- ru


- translation


## license: apache-2.0


### eus-rus


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eus.rus 	| 31.3 	| 0.502 |


### System Info:


- hf_name: eus-rus
- source_languages: eus
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eu', 'ru']
- src_constituents: {'eus'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-rus/opus-2020-06-16.test.txt
- src_alpha3: eus
- tgt_alpha3: rus
- short_pair: eu-ru
- chrF2_score: 0.502
- bleu: 31.3
- brevity_penalty: 0.9420000000000001
- ref_len: 2428.0
- src_name: Basque
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: eu
- tgt_alpha2: ru
- prefer_old: False
- long_pair: eus-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eu-ru


model author: Helsinki-NLP


task: translation


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


- fr
- ca


tags:


### fra-cat


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.cat 	| 43.4 	| 0.645 |


- hf_name: fra-cat
- source_languages: fra
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ca']
- src_constituents: {'fra'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.test.txt
- src_alpha3: fra
- tgt_alpha3: cat
- short_pair: fr-ca
- chrF2_score: 0.645
- bleu: 43.4
- brevity_penalty: 0.982
- ref_len: 5214.0
- src_name: French
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: fr
- tgt_alpha2: ca
- prefer_old: False
- long_pair: fra-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fr-ca


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


- translation
license: apache-2.0


### opus-mt-bzs-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.fr 	| 30.0 	| 0.479 |


model name: opus-mt-bzs-fr


model author: Helsinki-NLP


task: translation


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


language:


- eo
- af


tags:


- translation


## license: apache-2.0


### epo-afr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.afr 	| 19.5 	| 0.369 |


### System Info:


- hf_name: epo-afr
- source_languages: epo
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'af']
- src_constituents: {'epo'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: afr
- short_pair: eo-af
- chrF2_score: 0.369
- bleu: 19.5
- brevity_penalty: 0.9570000000000001
- ref_len: 8432.0
- src_name: Esperanto
- tgt_name: Afrikaans
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: af
- prefer_old: False
- long_pair: epo-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-af


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


- translation
license: apache-2.0


### opus-mt-sv-lu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lu 	| 24.8 	| 0.484 |


model name: opus-mt-sv-lu


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-de-ig


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ig 	| 25.3 	| 0.422 |


model name: opus-mt-de-ig


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


language:


- so
- cus
- en


- translation


## license: apache-2.0


### cus-eng


* source group: Cushitic languages
* target group: English
* OPUS readme: [cus-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md)
* model: transformer
* source language(s): som
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.multi.eng 	| 16.2 	| 0.303 |
| Tatoeba-test.som-eng.som.eng 	| 16.2 	| 0.303 |


### System Info:


- hf_name: cus-eng
- source_languages: cus
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['so', 'cus', 'en']
- src_constituents: {'som'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt
- src_alpha3: cus
- tgt_alpha3: eng
- short_pair: cus-en
- chrF2_score: 0.303
- bleu: 16.2
- brevity_penalty: 1.0
- ref_len: 3.0
- src_name: Cushitic languages
- tgt_name: English
- train_date: 2020-07-26
- src_alpha2: cus
- tgt_alpha2: en
- prefer_old: False
- long_pair: cus-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cus-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-sn


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sn 	| 23.4 	| 0.507 |


model name: opus-mt-fr-sn


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


### opus-mt-kg-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kg.es 	| 22.4 	| 0.402 |


model name: opus-mt-kg-es


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


### opus-mt-to-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.to.fr 	| 27.9 	| 0.456 |


model name: opus-mt-to-fr


model author: Helsinki-NLP


task: translation


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


language:


- ar
- es


tags:


- translation


## license: apache-2.0


### ara-spa


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.spa 	| 46.0 	| 0.641 |


### System Info:


- hf_name: ara-spa
- source_languages: ara
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'es']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-spa/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-spa/opus-2020-07-03.test.txt
- src_alpha3: ara
- tgt_alpha3: spa
- short_pair: ar-es
- chrF2_score: 0.6409999999999999
- bleu: 46.0
- brevity_penalty: 0.9620000000000001
- ref_len: 9708.0
- src_name: Arabic
- tgt_name: Spanish
- train_date: 2020-07-03
- src_alpha2: ar
- tgt_alpha2: es
- prefer_old: False
- long_pair: ara-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-es


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


- translation
license: apache-2.0


### opus-mt-en-mk


* source languages: en
* target languages: mk
* OPUS readme: [en-mk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.mk 	| 52.1 	| 0.683 |


model name: opus-mt-en-mk


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-ty-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ty.fr 	| 30.2 	| 0.480 |


model name: opus-mt-ty-fr


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


language:


- es
- af


- translation


## license: apache-2.0


### spa-afr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.afr 	| 55.0 	| 0.718 |


### System Info:


- hf_name: spa-afr
- source_languages: spa
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'af']
- src_constituents: {'spa'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: afr
- short_pair: es-af
- chrF2_score: 0.718
- bleu: 55.0
- brevity_penalty: 0.9740000000000001
- ref_len: 3044.0
- src_name: Spanish
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: af
- prefer_old: False
- long_pair: spa-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-af


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-tpi-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tpi.sv 	| 21.6 	| 0.396 |


model name: opus-mt-tpi-sv


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


### opus-mt-es-kg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.kg 	| 25.6 	| 0.488 |


model name: opus-mt-es-kg


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


### opus-mt-es-bzs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.bzs 	| 26.4 	| 0.451 |


model name: opus-mt-es-bzs


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-pis


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.pis 	| 27.5 	| 0.493 |


model name: opus-mt-fi-pis


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


### opus-mt-mk-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mk.fi 	| 25.9 	| 0.498 |


model name: opus-mt-mk-fi


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


### opus-mt-ts-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ts.es 	| 28.1 	| 0.468 |


model name: opus-mt-ts-es


model author: Helsinki-NLP


task: translation


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


language:


- ja
- bg


tags:


- translation


## license: apache-2.0


### jpn-bul


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.bul 	| 20.2 	| 0.422 |


### System Info:


- hf_name: jpn-bul
- source_languages: jpn
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'bg']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-bul/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: bul
- short_pair: ja-bg
- chrF2_score: 0.42200000000000004
- bleu: 20.2
- brevity_penalty: 0.9570000000000001
- ref_len: 2346.0
- src_name: Japanese
- tgt_name: Bulgarian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: bg
- prefer_old: False
- long_pair: jpn-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-bg