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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.hil.en 	| 49.2 	| 0.638 |


model name: opus-mt-hil-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-bem-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bem.en 	| 33.4 	| 0.491 |


model name: opus-mt-bem-en


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


language:


- ja
- nl


- translation


## license: apache-2.0


### jpn-nld


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.nld 	| 34.7 	| 0.534 |


### System Info:


- hf_name: jpn-nld
- source_languages: jpn
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'nl']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-nld/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: nld
- short_pair: ja-nl
- chrF2_score: 0.534
- bleu: 34.7
- brevity_penalty: 0.938
- ref_len: 25849.0
- src_name: Japanese
- tgt_name: Dutch
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: nl
- prefer_old: False
- long_pair: jpn-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-nl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-lua


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lua 	| 26.6 	| 0.505 |


model name: opus-mt-fi-lua


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


### opus-mt-swc-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.swc.fr 	| 28.6 	| 0.470 |


model name: opus-mt-swc-fr


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


language:


- en
- gd
- ga
- br
- kw
- gv
- cy
- cel


- translation


## license: apache-2.0


### eng-cel


* source group: English
* target group: Celtic languages
* OPUS readme: [eng-cel](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md)
* model: transformer
* source language(s): eng
* target language(s): bre cor cym gla gle glv
* 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-cel/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bre.eng.bre 	| 11.5 	| 0.338 |
| Tatoeba-test.eng-cor.eng.cor 	| 0.3 	| 0.095 |
| Tatoeba-test.eng-cym.eng.cym 	| 31.0 	| 0.549 |
| Tatoeba-test.eng-gla.eng.gla 	| 7.6 	| 0.317 |
| Tatoeba-test.eng-gle.eng.gle 	| 35.9 	| 0.582 |
| Tatoeba-test.eng-glv.eng.glv 	| 9.9 	| 0.454 |
| Tatoeba-test.eng.multi 	| 18.0 	| 0.342 |


### System Info:


- hf_name: eng-cel
- source_languages: eng
- target_languages: cel
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel']
- src_constituents: {'eng'}
- tgt_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cel
- short_pair: en-cel
- chrF2_score: 0.342
- bleu: 18.0
- brevity_penalty: 0.9590000000000001
- ref_len: 45370.0
- src_name: English
- tgt_name: Celtic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cel
- prefer_old: False
- long_pair: eng-cel
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-cel


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, gd, ga, br, kw, gv, cy, cel, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-de-pl


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.pl 	| 41.2 	| 0.631 |


model name: opus-mt-de-pl


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


language:


- it
- is


- translation


## license: apache-2.0


### ita-isl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.isl 	| 28.6 	| 0.524 |


### System Info:


- hf_name: ita-isl
- source_languages: ita
- target_languages: isl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-isl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'is']
- src_constituents: {'ita'}
- tgt_constituents: {'isl'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-isl/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: isl
- short_pair: it-is
- chrF2_score: 0.524
- bleu: 28.6
- brevity_penalty: 0.972
- ref_len: 1459.0
- src_name: Italian
- tgt_name: Icelandic
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: is
- prefer_old: False
- long_pair: ita-isl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-is


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-cs-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.cs.sv 	| 30.6 	| 0.527 |


model name: opus-mt-cs-sv


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


language:


- he
- fr


- translation


## license: apache-2.0


### he-fr


* source group: Hebrew
* target group: French
* OPUS readme: [heb-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-fra/README.md)
* model: transformer
* source language(s): heb
* target language(s): fra
* 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-fra/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.fra 	| 47.3 	| 0.644 |


### System Info:


- hf_name: he-fr
- source_languages: heb
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'fr']
- src_constituents: ('Hebrew', {'heb'})
- tgt_constituents: ('French', {'fra'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: heb-fra
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.test.txt
- src_alpha3: heb
- tgt_alpha3: fra
- chrF2_score: 0.644
- bleu: 47.3
- brevity_penalty: 0.9740000000000001
- ref_len: 26123.0
- src_name: Hebrew
- tgt_name: French
- train_date: 2020-12-10 00:00:00
- src_alpha2: he
- tgt_alpha2: fr
- prefer_old: False
- short_pair: he-fr
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-16:03


model name: opus-tatoeba-he-fr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-war-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.war.fr 	| 30.2 	| 0.482 |


model name: opus-mt-war-fr


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


### opus-mt-es-fj


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.fj 	| 24.8 	| 0.472 |


model name: opus-mt-es-fj


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


### opus-mt-en-swc


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.swc 	| 40.1 	| 0.613 |


model name: opus-mt-en-swc


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-zne-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.zne.es 	| 21.1 	| 0.382 |


model name: opus-mt-zne-es


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


### opus-mt-en-ig


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ig 	| 39.5 	| 0.546 |
| Tatoeba.en.ig 	| 3.8 	| 0.297 |


model name: opus-mt-en-ig


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


### opus-mt-it-es


* source languages: it
* target languages: es
* OPUS readme: [it-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.es 	| 61.2 	| 0.761 |


model name: opus-mt-it-es


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-xh


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.xh 	| 37.9 	| 0.652 |


model name: opus-mt-en-xh


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


### opus-mt-run-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.run.es 	| 26.9 	| 0.452 |


model name: opus-mt-run-es


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


### opus-mt-tr-es


* source languages: tr
* target languages: es
* OPUS readme: [tr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.tr.es 	| 56.3 	| 0.722 |


model name: opus-mt-tr-es


model author: Helsinki-NLP


task: translation


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


language:


- ro
- eo


tags:


- translation


## license: apache-2.0


### ron-epo


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ron.epo 	| 27.8 	| 0.495 |


### System Info:


- hf_name: ron-epo
- source_languages: ron
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ron-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ro', 'eo']
- src_constituents: {'ron'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.test.txt
- src_alpha3: ron
- tgt_alpha3: epo
- short_pair: ro-eo
- chrF2_score: 0.495
- bleu: 27.8
- brevity_penalty: 0.955
- ref_len: 25751.0
- src_name: Romanian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: ro
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ron-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ro-eo


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


- translation
license: apache-2.0


### opus-mt-lt-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lt.fr 	| 22.0 	| 0.428 |


model name: opus-mt-lt-fr


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-wls-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.wls.fr 	| 22.6 	| 0.389 |


model name: opus-mt-wls-fr


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


### opus-mt-es-ase


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ase 	| 31.5 	| 0.488 |


model name: opus-mt-es-ase


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


- translation
license: apache-2.0


### opus-mt-he-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.he.sv 	| 28.9 	| 0.493 |


model name: opus-mt-he-sv


model author: Helsinki-NLP


task: translation


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


language:


- eo
- sh


tags:


- translation


## license: apache-2.0


### epo-hbs


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.hbs 	| 13.6 	| 0.351 |


### System Info:


- hf_name: epo-hbs
- source_languages: epo
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'sh']
- src_constituents: {'epo'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: hbs
- short_pair: eo-sh
- chrF2_score: 0.35100000000000003
- bleu: 13.6
- brevity_penalty: 0.888
- ref_len: 17999.0
- src_name: Esperanto
- tgt_name: Serbo-Croatian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: sh
- prefer_old: False
- long_pair: epo-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-sh


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


- da
- sv
- af
- nn
- fy
- fo
- de
- nb
- nl
- is
- en
- lb
- yi
- gem


### gem-eng


* source group: Germanic languages
* target group: English
* OPUS readme: [gem-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md)
* model: transformer
* source language(s): afr ang_Latn dan deu enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* 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/gem-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-deueng.deu.eng 	| 27.2 	| 0.542 |
| news-test2008-deueng.deu.eng 	| 26.3 	| 0.536 |
| newstest2009-deueng.deu.eng 	| 25.1 	| 0.531 |
| newstest2010-deueng.deu.eng 	| 28.3 	| 0.569 |
| newstest2011-deueng.deu.eng 	| 26.0 	| 0.543 |
| newstest2012-deueng.deu.eng 	| 26.8 	| 0.550 |
| newstest2013-deueng.deu.eng 	| 30.2 	| 0.570 |
| newstest2014-deen-deueng.deu.eng 	| 30.7 	| 0.574 |
| newstest2015-ende-deueng.deu.eng 	| 32.1 	| 0.581 |
| newstest2016-ende-deueng.deu.eng 	| 36.9 	| 0.624 |
| newstest2017-ende-deueng.deu.eng 	| 32.8 	| 0.588 |
| newstest2018-ende-deueng.deu.eng 	| 40.2 	| 0.640 |
| newstest2019-deen-deueng.deu.eng 	| 36.8 	| 0.614 |
| Tatoeba-test.afr-eng.afr.eng 	| 62.8 	| 0.758 |
| Tatoeba-test.ang-eng.ang.eng 	| 10.5 	| 0.262 |
| Tatoeba-test.dan-eng.dan.eng 	| 61.6 	| 0.754 |
| Tatoeba-test.deu-eng.deu.eng 	| 49.7 	| 0.665 |
| Tatoeba-test.enm-eng.enm.eng 	| 23.9 	| 0.491 |
| Tatoeba-test.fao-eng.fao.eng 	| 23.4 	| 0.446 |
| Tatoeba-test.frr-eng.frr.eng 	| 10.2 	| 0.184 |
| Tatoeba-test.fry-eng.fry.eng 	| 29.6 	| 0.486 |
| Tatoeba-test.gos-eng.gos.eng 	| 17.8 	| 0.352 |
| Tatoeba-test.got-eng.got.eng 	| 0.1 	| 0.058 |
| Tatoeba-test.gsw-eng.gsw.eng 	| 15.3 	| 0.333 |
| Tatoeba-test.isl-eng.isl.eng 	| 51.0 	| 0.669 |
| Tatoeba-test.ksh-eng.ksh.eng 	| 6.7 	| 0.266 |
| Tatoeba-test.ltz-eng.ltz.eng 	| 33.0 	| 0.505 |
| Tatoeba-test.multi.eng 	| 54.0 	| 0.687 |
| Tatoeba-test.nds-eng.nds.eng 	| 33.6 	| 0.529 |
| Tatoeba-test.nld-eng.nld.eng 	| 58.9 	| 0.733 |
| Tatoeba-test.non-eng.non.eng 	| 37.3 	| 0.546 |
| Tatoeba-test.nor-eng.nor.eng 	| 54.9 	| 0.696 |
| Tatoeba-test.pdc-eng.pdc.eng 	| 29.6 	| 0.446 |
| Tatoeba-test.sco-eng.sco.eng 	| 40.5 	| 0.581 |
| Tatoeba-test.stq-eng.stq.eng 	| 14.5 	| 0.361 |
| Tatoeba-test.swe-eng.swe.eng 	| 62.0 	| 0.745 |
| Tatoeba-test.swg-eng.swg.eng 	| 17.1 	| 0.334 |
| Tatoeba-test.yid-eng.yid.eng 	| 19.4 	| 0.400 |


- hf_name: gem-eng
- source_languages: gem
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']
- src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt
- src_alpha3: gem
- tgt_alpha3: eng
- short_pair: gem-en
- chrF2_score: 0.687
- bleu: 54.0
- brevity_penalty: 0.993
- ref_len: 72120.0
- src_name: Germanic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: gem
- tgt_alpha2: en
- prefer_old: False
- long_pair: gem-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gem-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, da, sv, af, nn, fy, fo, de, nb, nl, is, en, lb, yi, gem, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sn-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sn.sv 	| 35.6 	| 0.536 |


model name: opus-mt-sn-sv


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


language:


- de
- ar


- translation


## license: apache-2.0


### deu-ara


* source group: German
* target group: Arabic
* OPUS readme: [deu-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): afb apc ara ara_Latn arq arz
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.ara 	| 19.7 	| 0.486 |


### System Info:


- hf_name: deu-ara
- source_languages: deu
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'ar']
- src_constituents: {'deu'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt
- src_alpha3: deu
- tgt_alpha3: ara
- short_pair: de-ar
- chrF2_score: 0.486
- bleu: 19.7
- brevity_penalty: 0.993
- ref_len: 6324.0
- src_name: German
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: de
- tgt_alpha2: ar
- prefer_old: False
- long_pair: deu-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-ar


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-ase


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ase 	| 40.5 	| 0.572 |


model name: opus-mt-sv-ase


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


language:


- fi
- no


- translation


## license: apache-2.0


### fin-nor


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fin.nor 	| 23.5 	| 0.426 |


### System Info:


- hf_name: fin-nor
- source_languages: fin
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fi', 'no']
- src_constituents: {'fin'}
- 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/fin-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-nor/opus-2020-06-17.test.txt
- src_alpha3: fin
- tgt_alpha3: nor
- short_pair: fi-no
- chrF2_score: 0.426
- bleu: 23.5
- brevity_penalty: 1.0
- ref_len: 14768.0
- src_name: Finnish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: fi
- tgt_alpha2: no
- prefer_old: False
- long_pair: fin-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fi-no


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-swc


* source languages: fi
* target languages: swc
* OPUS readme: [fi-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-swc/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-swc/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-swc/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-swc/opus-2020-01-24.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.swc 	| 27.5 	| 0.515 |


model name: opus-mt-fi-swc


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


### opus-mt-to-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.to.es 	| 26.6 	| 0.447 |


model name: opus-mt-to-es


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


### opus-mt-fr-sg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sg 	| 29.7 	| 0.473 |


model name: opus-mt-fr-sg


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-iso


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.iso 	| 21.4 	| 0.389 |


model name: opus-mt-de-iso


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


### opus-mt-crs-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.crs.sv 	| 29.3 	| 0.480 |


model name: opus-mt-crs-sv


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


### opus-mt-tr-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.tr.fr 	| 45.3 	| 0.627 |


model name: opus-mt-tr-fr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-tum-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tum.sv 	| 23.3 	| 0.410 |


model name: opus-mt-tum-sv


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


### opus-mt-sq-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sq.en 	| 58.4 	| 0.732 |


model name: opus-mt-sq-en


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


### opus-mt-fi-xh


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.xh 	| 25.3 	| 0.554 |


model name: opus-mt-fi-xh


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-tll-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tll.fr 	| 25.2 	| 0.426 |


model name: opus-mt-tll-fr


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


### opus-mt-es-pap


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.pap 	| 28.2 	| 0.486 |


model name: opus-mt-es-pap


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


### opus-mt-ng-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ng.en 	| 27.3 	| 0.443 |


model name: opus-mt-ng-en


model author: Helsinki-NLP


task: translation


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


language:


- de
- is


tags:


- translation


## license: apache-2.0


### deu-isl


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.isl 	| 27.1 	| 0.533 |


### System Info:


- hf_name: deu-isl
- source_languages: deu
- target_languages: isl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'is']
- src_constituents: {'deu'}
- tgt_constituents: {'isl'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: isl
- short_pair: de-is
- chrF2_score: 0.5329999999999999
- bleu: 27.1
- brevity_penalty: 0.9620000000000001
- ref_len: 5939.0
- src_name: German
- tgt_name: Icelandic
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: is
- prefer_old: False
- long_pair: deu-isl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-is


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


- he
- es


### he-es


* source group: Hebrew
* target group: Spanish
* OPUS readme: [heb-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-spa/README.md)
* model: transformer
* source language(s): heb
* target language(s): spa
* 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-spa/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.spa 	| 51.3 	| 0.689 |


- hf_name: he-es
- source_languages: heb
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'es']
- src_constituents: ('Hebrew', {'heb'})
- tgt_constituents: ('Spanish', {'spa'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: heb-spa
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.test.txt
- src_alpha3: heb
- tgt_alpha3: spa
- chrF2_score: 0.6890000000000001
- bleu: 51.3
- brevity_penalty: 0.97
- ref_len: 14213.0
- src_name: Hebrew
- tgt_name: Spanish
- train_date: 2020-12-10 00:00:00
- src_alpha2: he
- tgt_alpha2: es
- prefer_old: False
- short_pair: he-es
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-09:15


model name: opus-mt-he-es


model author: Helsinki-NLP


task: translation


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


language:


- en
- ta
- kn
- ml
- te
- dra


tags:


- translation


## license: apache-2.0


### eng-dra


* source group: English
* target group: Dravidian languages
* OPUS readme: [eng-dra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md)
* model: transformer
* source language(s): eng
* target language(s): kan mal tam tel
* 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-dra/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kan.eng.kan 	| 4.7 	| 0.348 |
| Tatoeba-test.eng-mal.eng.mal 	| 13.1 	| 0.515 |
| Tatoeba-test.eng.multi 	| 10.7 	| 0.463 |
| Tatoeba-test.eng-tam.eng.tam 	| 9.0 	| 0.444 |
| Tatoeba-test.eng-tel.eng.tel 	| 7.1 	| 0.363 |


### System Info:


- hf_name: eng-dra
- source_languages: eng
- target_languages: dra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra']
- src_constituents: {'eng'}
- tgt_constituents: {'tam', 'kan', 'mal', 'tel'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: dra
- short_pair: en-dra
- chrF2_score: 0.46299999999999997
- bleu: 10.7
- brevity_penalty: 1.0
- ref_len: 7928.0
- src_name: English
- tgt_name: Dravidian languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: dra
- prefer_old: False
- long_pair: eng-dra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-dra


tags: pytorch, marian, text2text-generation, en, ta, kn, ml, te, dra, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-de-crs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.crs 	| 24.1 	| 0.429 |


model name: opus-mt-de-crs


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-bzs-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.es 	| 28.1 	| 0.464 |


model name: opus-mt-bzs-es


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


language:


- uk
- ca


- translation


## license: apache-2.0


### ukr-cat


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.cat 	| 33.7 	| 0.538 |


### System Info:


- hf_name: ukr-cat
- source_languages: ukr
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'ca']
- src_constituents: {'ukr'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.test.txt
- src_alpha3: ukr
- tgt_alpha3: cat
- short_pair: uk-ca
- chrF2_score: 0.5379999999999999
- bleu: 33.7
- brevity_penalty: 0.972
- ref_len: 2670.0
- src_name: Ukrainian
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: uk
- tgt_alpha2: ca
- prefer_old: False
- long_pair: ukr-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-ca


model author: Helsinki-NLP


task: translation


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


- de
- eu


tags:


### deu-eus


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.eus 	| 31.8 	| 0.574 |


- hf_name: deu-eus
- source_languages: deu
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'eu']
- src_constituents: {'deu'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.test.txt
- src_alpha3: deu
- tgt_alpha3: eus
- short_pair: de-eu
- chrF2_score: 0.574
- bleu: 31.8
- brevity_penalty: 0.9209999999999999
- ref_len: 2829.0
- src_name: German
- tgt_name: Basque
- train_date: 2020-06-16
- src_alpha2: de
- tgt_alpha2: eu
- prefer_old: False
- long_pair: deu-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-eu


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


- translation
license: apache-2.0


### opus-mt-en-ha


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ha 	| 34.1 	| 0.544 |
| Tatoeba.en.ha 	| 17.6 	| 0.498 |


model name: opus-mt-en-ha


model author: Helsinki-NLP


task: translation


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


### opus-mt-swc-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.swc.sv 	| 30.7 	| 0.495 |


model name: opus-mt-swc-sv


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


language:


- pt
- gl


tags:


- translation


## license: apache-2.0


### por-glg


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.glg 	| 55.8 	| 0.737 |


### System Info:


- hf_name: por-glg
- source_languages: por
- target_languages: glg
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-glg/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'gl']
- src_constituents: {'por'}
- tgt_constituents: {'glg'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.test.txt
- src_alpha3: por
- tgt_alpha3: glg
- short_pair: pt-gl
- chrF2_score: 0.737
- bleu: 55.8
- brevity_penalty: 0.996
- ref_len: 2989.0
- src_name: Portuguese
- tgt_name: Galician
- train_date: 2020-06-16
- src_alpha2: pt
- tgt_alpha2: gl
- prefer_old: False
- long_pair: por-glg
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pt-gl


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-de-ht


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ht 	| 21.8 	| 0.390 |


model name: opus-mt-de-ht


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


tags:


### opus-mt-chk-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.chk.sv 	| 23.6 	| 0.406 |


model name: opus-mt-chk-sv


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


language:


- ka
- ccs
- en


- translation


## license: apache-2.0


### ccs-eng


* source group: South Caucasian languages
* target group: English
* OPUS readme: [ccs-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md)
* model: transformer
* source language(s): kat
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kat-eng.kat.eng 	| 18.0 	| 0.357 |
| Tatoeba-test.multi.eng 	| 18.0 	| 0.357 |


### System Info:


- hf_name: ccs-eng
- source_languages: ccs
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ka', 'ccs', 'en']
- src_constituents: {'kat'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt
- src_alpha3: ccs
- tgt_alpha3: eng
- short_pair: ccs-en
- chrF2_score: 0.35700000000000004
- bleu: 18.0
- brevity_penalty: 1.0
- ref_len: 5992.0
- src_name: South Caucasian languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: ccs
- tgt_alpha2: en
- prefer_old: False
- long_pair: ccs-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ccs-en


model author: Helsinki-NLP


task: translation


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


- no
- da


tags:


### nor-dan


* source group: Norwegian
* target group: Danish
* OPUS readme: [nor-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-dan/README.md)
* model: transformer-align
* source language(s): nno nob
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.dan 	| 65.0 	| 0.792 |


- hf_name: nor-dan
- source_languages: nor
- target_languages: dan
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-dan/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'da']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'dan'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: dan
- short_pair: no-da
- chrF2_score: 0.792
- bleu: 65.0
- brevity_penalty: 0.995
- ref_len: 9865.0
- src_name: Norwegian
- tgt_name: Danish
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: da
- prefer_old: False
- long_pair: nor-dan
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-da


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


language:


- vi
- it


- translation


## license: apache-2.0


### vie-ita


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.ita 	| 31.2 	| 0.548 |


### System Info:


- hf_name: vie-ita
- source_languages: vie
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'it']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-ita/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: ita
- short_pair: vi-it
- chrF2_score: 0.5479999999999999
- bleu: 31.2
- brevity_penalty: 0.932
- ref_len: 1774.0
- src_name: Vietnamese
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: it
- prefer_old: False
- long_pair: vie-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-vi-it


model author: Helsinki-NLP


task: translation


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


- it
- uk


tags:


### ita-ukr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.ukr 	| 45.9 	| 0.657 |


- hf_name: ita-ukr
- source_languages: ita
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'uk']
- src_constituents: {'ita'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ukr/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: ukr
- short_pair: it-uk
- chrF2_score: 0.657
- bleu: 45.9
- brevity_penalty: 0.9890000000000001
- ref_len: 25353.0
- src_name: Italian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: uk
- prefer_old: False
- long_pair: ita-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-uk


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


- translation
license: apache-2.0


### opus-mt-kab-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.kab.en 	| 27.5 	| 0.408 |


model name: opus-mt-kab-en


model author: Helsinki-NLP


task: translation


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


### opus-mt-loz-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.loz.fi 	| 25.1 	| 0.467 |


model name: opus-mt-loz-fi


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


language:


- ru
- uk


tags:


- translation


## license: apache-2.0


### rus-ukr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.ukr 	| 64.0 	| 0.793 |


### System Info:


- hf_name: rus-ukr
- source_languages: rus
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'uk']
- src_constituents: {'rus'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: ukr
- short_pair: ru-uk
- chrF2_score: 0.7929999999999999
- bleu: 64.0
- brevity_penalty: 0.99
- ref_len: 60212.0
- src_name: Russian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: uk
- prefer_old: False
- long_pair: rus-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-uk


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-es-ilo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ilo 	| 31.0 	| 0.544 |


model name: opus-mt-es-ilo


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


tags:


### opus-mt-mfe-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mfe.en 	| 39.9 	| 0.552 |


model name: opus-mt-mfe-en


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


### opus-mt-niu-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.niu.fr 	| 28.1 	| 0.452 |


model name: opus-mt-niu-fr


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-fr-mh


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mh 	| 21.7 	| 0.399 |


model name: opus-mt-fr-mh


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


language:


- ms
- it


tags:


- translation


## license: apache-2.0


### msa-ita


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.msa.ita 	| 37.8 	| 0.613 |


### System Info:


- hf_name: msa-ita
- source_languages: msa
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ms', 'it']
- src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.test.txt
- src_alpha3: msa
- tgt_alpha3: ita
- short_pair: ms-it
- chrF2_score: 0.613
- bleu: 37.8
- brevity_penalty: 0.995
- ref_len: 2758.0
- src_name: Malay (macrolanguage)
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: ms
- tgt_alpha2: it
- prefer_old: False
- long_pair: msa-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ms-it


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-fr-guw


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.guw 	| 31.4 	| 0.505 |


model name: opus-mt-fr-guw


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


tags:


### opus-mt-niu-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.niu.sv 	| 29.2 	| 0.478 |


model name: opus-mt-niu-sv


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


### opus-mt-en-mg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.en.mg 	| 22.3 	| 0.565 |
| Tatoeba.en.mg 	| 35.5 	| 0.548 |


model name: opus-mt-en-mg


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-tum-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tum.es 	| 22.6 	| 0.390 |


model name: opus-mt-tum-es


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


tags:


### opus-mt-hu-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hu.fi 	| 48.2 	| 0.700 |


model name: opus-mt-hu-fi


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


### opus-mt-es-nl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.nl 	| 50.6 	| 0.681 |


model name: opus-mt-es-nl


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-ln-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ln.es 	| 26.5 	| 0.444 |


model name: opus-mt-ln-es


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


tags:


### opus-mt-gaa-fr