| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.epo 	| 16.1 	| 0.355 |


### System Info:


- hf_name: nld-epo
- source_languages: nld
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'eo']
- src_constituents: {'nld'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-epo/opus-2020-06-16.test.txt
- src_alpha3: nld
- tgt_alpha3: epo
- short_pair: nl-eo
- chrF2_score: 0.355
- bleu: 16.1
- brevity_penalty: 0.9359999999999999
- ref_len: 72293.0
- src_name: Dutch
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: nl
- tgt_alpha2: eo
- prefer_old: False
- long_pair: nld-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-nl-eo


model author: Helsinki-NLP


task: translation


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


language:


- en
- hr
- mk
- bg
- sl
- zls


tags:


- translation


## license: apache-2.0


### eng-zls


* source group: English
* target group: South Slavic languages
* OPUS readme: [eng-zls](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md)
* model: transformer
* source language(s): eng
* target language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bul.eng.bul 	| 47.6 	| 0.657 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 40.7 	| 0.619 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 45.2 	| 0.642 |
| Tatoeba-test.eng.multi 	| 42.7 	| 0.622 |
| Tatoeba-test.eng-slv.eng.slv 	| 17.9 	| 0.351 |


- hf_name: eng-zls
- source_languages: eng
- target_languages: zls
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hr', 'mk', 'bg', 'sl', 'zls']
- src_constituents: {'eng'}
- tgt_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zls
- short_pair: en-zls
- chrF2_score: 0.622
- bleu: 42.7
- brevity_penalty: 0.9690000000000001
- ref_len: 64788.0
- src_name: English
- tgt_name: South Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zls
- prefer_old: False
- long_pair: eng-zls
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-zls


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


- translation
license: apache-2.0


### opus-mt-cs-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2014-csen.cs.en 	| 34.1 	| 0.612 |
| newstest2015-encs.cs.en 	| 30.4 	| 0.565 |
| newstest2016-encs.cs.en 	| 31.8 	| 0.584 |
| newstest2017-encs.cs.en 	| 28.7 	| 0.556 |
| newstest2018-encs.cs.en 	| 30.3 	| 0.566 |
| Tatoeba.cs.en 	| 58.0 	| 0.721 |


model name: opus-mt-cs-en


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-sv-lue


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lue 	| 22.6 	| 0.502 |


model name: opus-mt-sv-lue


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


### opus-mt-fr-zne


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.zne 	| 24.1 	| 0.460 |


model name: opus-mt-fr-zne


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


- translation
license: apache-2.0


### opus-mt-en-mfe


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.mfe 	| 32.1 	| 0.509 |


model name: opus-mt-en-mfe


model author: Helsinki-NLP


task: translation


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


language:


- da
- nb
- sv
- is
- nn
- fo
- gmq


tags:


- translation


## license: apache-2.0


### gmq-gmq


* source group: North Germanic languages
* target group: North Germanic languages
* OPUS readme: [gmq-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-gmq/README.md)
* model: transformer
* source language(s): dan fao isl nno nob swe
* target language(s): dan fao isl nno nob swe
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan-fao.dan.fao 	| 8.1 	| 0.173 |
| Tatoeba-test.dan-isl.dan.isl 	| 52.5 	| 0.827 |
| Tatoeba-test.dan-nor.dan.nor 	| 62.8 	| 0.772 |
| Tatoeba-test.dan-swe.dan.swe 	| 67.6 	| 0.802 |
| Tatoeba-test.fao-dan.fao.dan 	| 11.3 	| 0.306 |
| Tatoeba-test.fao-isl.fao.isl 	| 26.3 	| 0.359 |
| Tatoeba-test.fao-nor.fao.nor 	| 36.8 	| 0.531 |
| Tatoeba-test.fao-swe.fao.swe 	| 0.0 	| 0.632 |
| Tatoeba-test.isl-dan.isl.dan 	| 67.0 	| 0.739 |
| Tatoeba-test.isl-fao.isl.fao 	| 14.5 	| 0.243 |
| Tatoeba-test.isl-nor.isl.nor 	| 51.8 	| 0.674 |
| Tatoeba-test.isl-swe.isl.swe 	| 100.0 	| 1.000 |
| Tatoeba-test.multi.multi 	| 64.7 	| 0.782 |
| Tatoeba-test.nor-dan.nor.dan 	| 65.6 	| 0.797 |
| Tatoeba-test.nor-fao.nor.fao 	| 9.4 	| 0.362 |
| Tatoeba-test.nor-isl.nor.isl 	| 38.8 	| 0.587 |
| Tatoeba-test.nor-nor.nor.nor 	| 51.9 	| 0.721 |
| Tatoeba-test.nor-swe.nor.swe 	| 66.5 	| 0.789 |
| Tatoeba-test.swe-dan.swe.dan 	| 67.6 	| 0.802 |
| Tatoeba-test.swe-fao.swe.fao 	| 0.0 	| 0.268 |
| Tatoeba-test.swe-isl.swe.isl 	| 65.8 	| 0.914 |
| Tatoeba-test.swe-nor.swe.nor 	| 60.6 	| 0.755 |


### System Info:


- hf_name: gmq-gmq
- source_languages: gmq
- target_languages: gmq
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-gmq/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']
- src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
- tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt
- src_alpha3: gmq
- tgt_alpha3: gmq
- short_pair: gmq-gmq
- chrF2_score: 0.782
- bleu: 64.7
- brevity_penalty: 0.9940000000000001
- ref_len: 49385.0
- src_name: North Germanic languages
- tgt_name: North Germanic languages
- train_date: 2020-07-27
- src_alpha2: gmq
- tgt_alpha2: gmq
- prefer_old: False
- long_pair: gmq-gmq
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gmq-gmq


tags: pytorch, marian, text2text-generation, da, nb, sv, is, nn, fo, gmq, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-fr-tvl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tvl 	| 32.6 	| 0.497 |


model name: opus-mt-fr-tvl


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-it-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.it.en 	| 35.3 	| 0.600 |
| newstest2009.it.en 	| 34.0 	| 0.594 |
| Tatoeba.it.en 	| 70.9 	| 0.808 |


model name: opus-mt-it-en


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


### opus-mt-fr-crs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.crs 	| 31.6 	| 0.492 |


model name: opus-mt-fr-crs


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


language:


- tl
- en


- translation


## license: apache-2.0


### tgl-eng


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.eng 	| 35.0 	| 0.542 |


### System Info:


- hf_name: tgl-eng
- source_languages: tgl
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'en']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-eng/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: eng
- short_pair: tl-en
- chrF2_score: 0.542
- bleu: 35.0
- brevity_penalty: 0.975
- ref_len: 18168.0
- src_name: Tagalog
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: en
- prefer_old: False
- long_pair: tgl-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-tl-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-to


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.to 	| 35.7 	| 0.510 |


model name: opus-mt-es-to


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


language:


- eu
- de


- translation


## license: apache-2.0


### eus-deu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eus.deu 	| 36.3 	| 0.562 |


### System Info:


- hf_name: eus-deu
- source_languages: eus
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eu', 'de']
- src_constituents: {'eus'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-deu/opus-2020-06-16.test.txt
- src_alpha3: eus
- tgt_alpha3: deu
- short_pair: eu-de
- chrF2_score: 0.562
- bleu: 36.3
- brevity_penalty: 0.953
- ref_len: 3315.0
- src_name: Basque
- tgt_name: German
- train_date: 2020-06-16
- src_alpha2: eu
- tgt_alpha2: de
- prefer_old: False
- long_pair: eus-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eu-de


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-mt


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mt 	| 28.7 	| 0.466 |


model name: opus-mt-fr-mt


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


language:


- en
- ca
- es
- os
- ro
- fy
- cy
- sc
- is
- yi
- lb
- an
- sq
- fr
- ht
- rm
- ps
- af
- uk
- sl
- lt
- bg
- be
- gd
- si
- br
- mk
- or
- mr
- ru
- fo
- co
- oc
- pl
- gl
- nb
- bn
- id
- hy
- da
- gv
- nl
- pt
- hi
- as
- kw
- ga
- sv
- gu
- wa
- lv
- el
- it
- hr
- ur
- nn
- de
- cs
- ine


- translation


## license: apache-2.0


### eng-ine


* source group: English
* target group: Indo-European languages
* OPUS readme: [eng-ine](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza
* 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-ine/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin 	| 6.2 	| 0.317 |
| newsdev2016-enro-engron.eng.ron 	| 22.1 	| 0.525 |
| newsdev2017-enlv-englav.eng.lav 	| 17.4 	| 0.486 |
| newsdev2019-engu-engguj.eng.guj 	| 6.5 	| 0.303 |
| newsdev2019-enlt-englit.eng.lit 	| 14.9 	| 0.476 |
| newsdiscussdev2015-enfr-engfra.eng.fra 	| 26.4 	| 0.547 |
| newsdiscusstest2015-enfr-engfra.eng.fra 	| 30.0 	| 0.575 |
| newssyscomb2009-engces.eng.ces 	| 14.7 	| 0.442 |
| newssyscomb2009-engdeu.eng.deu 	| 16.7 	| 0.487 |
| newssyscomb2009-engfra.eng.fra 	| 24.8 	| 0.547 |
| newssyscomb2009-engita.eng.ita 	| 25.2 	| 0.562 |
| newssyscomb2009-engspa.eng.spa 	| 27.0 	| 0.554 |
| news-test2008-engces.eng.ces 	| 13.0 	| 0.417 |
| news-test2008-engdeu.eng.deu 	| 17.4 	| 0.480 |
| news-test2008-engfra.eng.fra 	| 22.3 	| 0.519 |
| news-test2008-engspa.eng.spa 	| 24.9 	| 0.532 |
| newstest2009-engces.eng.ces 	| 13.6 	| 0.432 |
| newstest2009-engdeu.eng.deu 	| 16.6 	| 0.482 |
| newstest2009-engfra.eng.fra 	| 23.5 	| 0.535 |
| newstest2009-engita.eng.ita 	| 25.5 	| 0.561 |
| newstest2009-engspa.eng.spa 	| 26.3 	| 0.551 |
| newstest2010-engces.eng.ces 	| 14.2 	| 0.436 |
| newstest2010-engdeu.eng.deu 	| 18.3 	| 0.492 |
| newstest2010-engfra.eng.fra 	| 25.7 	| 0.550 |
| newstest2010-engspa.eng.spa 	| 30.5 	| 0.578 |
| newstest2011-engces.eng.ces 	| 15.1 	| 0.439 |
| newstest2011-engdeu.eng.deu 	| 17.1 	| 0.478 |
| newstest2011-engfra.eng.fra 	| 28.0 	| 0.569 |
| newstest2011-engspa.eng.spa 	| 31.9 	| 0.580 |
| newstest2012-engces.eng.ces 	| 13.6 	| 0.418 |
| newstest2012-engdeu.eng.deu 	| 17.0 	| 0.475 |
| newstest2012-engfra.eng.fra 	| 26.1 	| 0.553 |
| newstest2012-engrus.eng.rus 	| 21.4 	| 0.506 |
| newstest2012-engspa.eng.spa 	| 31.4 	| 0.577 |
| newstest2013-engces.eng.ces 	| 15.3 	| 0.438 |
| newstest2013-engdeu.eng.deu 	| 20.3 	| 0.501 |
| newstest2013-engfra.eng.fra 	| 26.0 	| 0.540 |
| newstest2013-engrus.eng.rus 	| 16.1 	| 0.449 |
| newstest2013-engspa.eng.spa 	| 28.6 	| 0.555 |
| newstest2014-hien-enghin.eng.hin 	| 9.5 	| 0.344 |
| newstest2015-encs-engces.eng.ces 	| 14.8 	| 0.440 |
| newstest2015-ende-engdeu.eng.deu 	| 22.6 	| 0.523 |
| newstest2015-enru-engrus.eng.rus 	| 18.8 	| 0.483 |
| newstest2016-encs-engces.eng.ces 	| 16.8 	| 0.457 |
| newstest2016-ende-engdeu.eng.deu 	| 26.2 	| 0.555 |
| newstest2016-enro-engron.eng.ron 	| 21.2 	| 0.510 |
| newstest2016-enru-engrus.eng.rus 	| 17.6 	| 0.471 |
| newstest2017-encs-engces.eng.ces 	| 13.6 	| 0.421 |
| newstest2017-ende-engdeu.eng.deu 	| 21.5 	| 0.516 |
| newstest2017-enlv-englav.eng.lav 	| 13.0 	| 0.452 |
| newstest2017-enru-engrus.eng.rus 	| 18.7 	| 0.486 |
| newstest2018-encs-engces.eng.ces 	| 13.5 	| 0.425 |
| newstest2018-ende-engdeu.eng.deu 	| 29.8 	| 0.581 |
| newstest2018-enru-engrus.eng.rus 	| 16.1 	| 0.472 |
| newstest2019-encs-engces.eng.ces 	| 14.8 	| 0.435 |
| newstest2019-ende-engdeu.eng.deu 	| 26.6 	| 0.554 |
| newstest2019-engu-engguj.eng.guj 	| 6.9 	| 0.313 |
| newstest2019-enlt-englit.eng.lit 	| 10.6 	| 0.429 |
| newstest2019-enru-engrus.eng.rus 	| 17.5 	| 0.452 |
| Tatoeba-test.eng-afr.eng.afr 	| 52.1 	| 0.708 |
| Tatoeba-test.eng-ang.eng.ang 	| 5.1 	| 0.131 |
| Tatoeba-test.eng-arg.eng.arg 	| 1.2 	| 0.099 |
| Tatoeba-test.eng-asm.eng.asm 	| 2.9 	| 0.259 |
| Tatoeba-test.eng-ast.eng.ast 	| 14.1 	| 0.408 |
| Tatoeba-test.eng-awa.eng.awa 	| 0.3 	| 0.002 |
| Tatoeba-test.eng-bel.eng.bel 	| 18.1 	| 0.450 |
| Tatoeba-test.eng-ben.eng.ben 	| 13.5 	| 0.432 |
| Tatoeba-test.eng-bho.eng.bho 	| 0.3 	| 0.003 |
| Tatoeba-test.eng-bre.eng.bre 	| 10.4 	| 0.318 |
| Tatoeba-test.eng-bul.eng.bul 	| 38.7 	| 0.592 |
| Tatoeba-test.eng-cat.eng.cat 	| 42.0 	| 0.633 |
| Tatoeba-test.eng-ces.eng.ces 	| 32.3 	| 0.546 |
| Tatoeba-test.eng-cor.eng.cor 	| 0.5 	| 0.079 |
| Tatoeba-test.eng-cos.eng.cos 	| 3.1 	| 0.148 |
| Tatoeba-test.eng-csb.eng.csb 	| 1.4 	| 0.216 |
| Tatoeba-test.eng-cym.eng.cym 	| 22.4 	| 0.470 |
| Tatoeba-test.eng-dan.eng.dan 	| 49.7 	| 0.671 |
| Tatoeba-test.eng-deu.eng.deu 	| 31.7 	| 0.554 |
| Tatoeba-test.eng-dsb.eng.dsb 	| 1.1 	| 0.139 |
| Tatoeba-test.eng-egl.eng.egl 	| 0.9 	| 0.089 |
| Tatoeba-test.eng-ell.eng.ell 	| 42.7 	| 0.640 |
| Tatoeba-test.eng-enm.eng.enm 	| 3.5 	| 0.259 |
| Tatoeba-test.eng-ext.eng.ext 	| 6.4 	| 0.235 |
| Tatoeba-test.eng-fao.eng.fao 	| 6.6 	| 0.285 |
| Tatoeba-test.eng-fas.eng.fas 	| 5.7 	| 0.257 |
| Tatoeba-test.eng-fra.eng.fra 	| 38.4 	| 0.595 |
| Tatoeba-test.eng-frm.eng.frm 	| 0.9 	| 0.149 |
| Tatoeba-test.eng-frr.eng.frr 	| 8.4 	| 0.145 |
| Tatoeba-test.eng-fry.eng.fry 	| 16.5 	| 0.411 |
| Tatoeba-test.eng-gcf.eng.gcf 	| 0.6 	| 0.098 |
| Tatoeba-test.eng-gla.eng.gla 	| 11.6 	| 0.361 |
| Tatoeba-test.eng-gle.eng.gle 	| 32.5 	| 0.546 |
| Tatoeba-test.eng-glg.eng.glg 	| 38.4 	| 0.602 |
| Tatoeba-test.eng-glv.eng.glv 	| 23.1 	| 0.418 |
| Tatoeba-test.eng-gos.eng.gos 	| 0.7 	| 0.137 |
| Tatoeba-test.eng-got.eng.got 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-grc.eng.grc 	| 0.0 	| 0.005 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 0.9 	| 0.108 |
| Tatoeba-test.eng-guj.eng.guj 	| 20.8 	| 0.391 |
| Tatoeba-test.eng-hat.eng.hat 	| 34.0 	| 0.537 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 33.7 	| 0.567 |
| Tatoeba-test.eng-hif.eng.hif 	| 2.8 	| 0.269 |
| Tatoeba-test.eng-hin.eng.hin 	| 15.6 	| 0.437 |
| Tatoeba-test.eng-hsb.eng.hsb 	| 5.4 	| 0.320 |
| Tatoeba-test.eng-hye.eng.hye 	| 17.4 	| 0.426 |
| Tatoeba-test.eng-isl.eng.isl 	| 17.4 	| 0.436 |
| Tatoeba-test.eng-ita.eng.ita 	| 40.4 	| 0.636 |
| Tatoeba-test.eng-jdt.eng.jdt 	| 6.4 	| 0.008 |
| Tatoeba-test.eng-kok.eng.kok 	| 6.6 	| 0.005 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 0.8 	| 0.123 |
| Tatoeba-test.eng-kur.eng.kur 	| 10.2 	| 0.209 |
| Tatoeba-test.eng-lad.eng.lad 	| 0.8 	| 0.163 |
| Tatoeba-test.eng-lah.eng.lah 	| 0.2 	| 0.001 |
| Tatoeba-test.eng-lat.eng.lat 	| 9.4 	| 0.372 |
| Tatoeba-test.eng-lav.eng.lav 	| 30.3 	| 0.559 |
| Tatoeba-test.eng-lij.eng.lij 	| 1.0 	| 0.130 |
| Tatoeba-test.eng-lit.eng.lit 	| 25.3 	| 0.560 |
| Tatoeba-test.eng-lld.eng.lld 	| 0.4 	| 0.139 |
| Tatoeba-test.eng-lmo.eng.lmo 	| 0.6 	| 0.108 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 18.1 	| 0.388 |
| Tatoeba-test.eng-mai.eng.mai 	| 17.2 	| 0.464 |
| Tatoeba-test.eng-mar.eng.mar 	| 18.0 	| 0.451 |
| Tatoeba-test.eng-mfe.eng.mfe 	| 81.0 	| 0.899 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 37.6 	| 0.587 |
| Tatoeba-test.eng-msa.eng.msa 	| 27.7 	| 0.519 |
| Tatoeba-test.eng.multi 	| 32.6 	| 0.539 |
| Tatoeba-test.eng-mwl.eng.mwl 	| 3.8 	| 0.134 |
| Tatoeba-test.eng-nds.eng.nds 	| 14.3 	| 0.401 |
| Tatoeba-test.eng-nep.eng.nep 	| 0.5 	| 0.002 |
| Tatoeba-test.eng-nld.eng.nld 	| 44.0 	| 0.642 |
| Tatoeba-test.eng-non.eng.non 	| 0.7 	| 0.118 |
| Tatoeba-test.eng-nor.eng.nor 	| 42.7 	| 0.623 |
| Tatoeba-test.eng-oci.eng.oci 	| 7.2 	| 0.295 |
| Tatoeba-test.eng-ori.eng.ori 	| 2.7 	| 0.257 |
| Tatoeba-test.eng-orv.eng.orv 	| 0.2 	| 0.008 |
| Tatoeba-test.eng-oss.eng.oss 	| 2.9 	| 0.264 |
| Tatoeba-test.eng-pan.eng.pan 	| 7.4 	| 0.337 |
| Tatoeba-test.eng-pap.eng.pap 	| 48.5 	| 0.656 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 1.8 	| 0.145 |
| Tatoeba-test.eng-pms.eng.pms 	| 0.7 	| 0.136 |
| Tatoeba-test.eng-pol.eng.pol 	| 31.1 	| 0.563 |
| Tatoeba-test.eng-por.eng.por 	| 37.0 	| 0.605 |
| Tatoeba-test.eng-prg.eng.prg 	| 0.2 	| 0.100 |
| Tatoeba-test.eng-pus.eng.pus 	| 1.0 	| 0.134 |
| Tatoeba-test.eng-roh.eng.roh 	| 2.3 	| 0.236 |
| Tatoeba-test.eng-rom.eng.rom 	| 7.8 	| 0.340 |
| Tatoeba-test.eng-ron.eng.ron 	| 34.3 	| 0.585 |
| Tatoeba-test.eng-rue.eng.rue 	| 0.2 	| 0.010 |
| Tatoeba-test.eng-rus.eng.rus 	| 29.6 	| 0.526 |
| Tatoeba-test.eng-san.eng.san 	| 2.4 	| 0.125 |
| Tatoeba-test.eng-scn.eng.scn 	| 1.6 	| 0.079 |
| Tatoeba-test.eng-sco.eng.sco 	| 33.6 	| 0.562 |
| Tatoeba-test.eng-sgs.eng.sgs 	| 3.4 	| 0.114 |
| Tatoeba-test.eng-sin.eng.sin 	| 9.2 	| 0.349 |
| Tatoeba-test.eng-slv.eng.slv 	| 15.6 	| 0.334 |
| Tatoeba-test.eng-snd.eng.snd 	| 9.1 	| 0.324 |
| Tatoeba-test.eng-spa.eng.spa 	| 43.4 	| 0.645 |
| Tatoeba-test.eng-sqi.eng.sqi 	| 39.0 	| 0.621 |
| Tatoeba-test.eng-stq.eng.stq 	| 10.8 	| 0.373 |
| Tatoeba-test.eng-swe.eng.swe 	| 49.9 	| 0.663 |
| Tatoeba-test.eng-swg.eng.swg 	| 0.7 	| 0.137 |
| Tatoeba-test.eng-tgk.eng.tgk 	| 6.4 	| 0.346 |
| Tatoeba-test.eng-tly.eng.tly 	| 0.5 	| 0.055 |
| Tatoeba-test.eng-ukr.eng.ukr 	| 31.4 	| 0.536 |
| Tatoeba-test.eng-urd.eng.urd 	| 11.1 	| 0.389 |
| Tatoeba-test.eng-vec.eng.vec 	| 1.3 	| 0.110 |
| Tatoeba-test.eng-wln.eng.wln 	| 6.8 	| 0.233 |
| Tatoeba-test.eng-yid.eng.yid 	| 5.8 	| 0.295 |
| Tatoeba-test.eng-zza.eng.zza 	| 0.8 	| 0.086 |


### System Info:


- hf_name: eng-ine
- source_languages: eng
- target_languages: ine
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']
- src_constituents: {'eng'}
- tgt_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: ine
- short_pair: en-ine
- chrF2_score: 0.539
- bleu: 32.6
- brevity_penalty: 0.973
- ref_len: 68664.0
- src_name: English
- tgt_name: Indo-European languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: ine
- prefer_old: False
- long_pair: eng-ine
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-ine


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, ca, es, os, ro, fy, cy, sc, is, yi, lb, an, sq, fr, ht, rm, ps, af, uk, sl, lt, bg, be, gd, si, br, mk, or, mr, ru, fo, co, oc, pl, gl, nb, bn, id, hy, da, gv, nl, pt, hi, as, kw, ga, sv, gu, wa, lv, el, it, hr, ur, nn, de, cs, ine, transformers, translation, license:apache-2.0, autonlp_compatible


- ilo
- en


tags:


### ilo-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ilo.eng 	| 36.4 	| 0.558 |


- hf_name: ilo-eng
- source_languages: ilo
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ilo-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ilo', 'en']
- src_constituents: {'ilo'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.test.txt
- src_alpha3: ilo
- tgt_alpha3: eng
- short_pair: ilo-en
- chrF2_score: 0.5579999999999999
- bleu: 36.4
- brevity_penalty: 1.0
- ref_len: 7384.0
- src_name: Iloko
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: ilo
- tgt_alpha2: en
- prefer_old: False
- long_pair: ilo-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ilo-en


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


language:


- zh
- sv


- translation


## license: apache-2.0


### zho-swe


* source group: Chinese
* target group: Swedish
* OPUS readme: [zho-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-swe/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hani cmn_Latn
* target language(s): swe
* 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/zho-swe/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-swe/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-swe/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.swe 	| 46.1 	| 0.621 |


### System Info:


- hf_name: zho-swe
- source_languages: zho
- target_languages: swe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-swe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'sv']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- tgt_constituents: {'swe'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-swe/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-swe/opus-2020-06-17.test.txt
- src_alpha3: zho
- tgt_alpha3: swe
- short_pair: zh-sv
- chrF2_score: 0.621
- bleu: 46.1
- brevity_penalty: 0.956
- ref_len: 6223.0
- src_name: Chinese
- tgt_name: Swedish
- train_date: 2020-06-17
- src_alpha2: zh
- tgt_alpha2: sv
- prefer_old: False
- long_pair: zho-swe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-crs


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.crs 	| 29.6 	| 0.491 |


model name: opus-mt-fi-crs


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


### opus-mt-sv-crs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.crs 	| 32.4 	| 0.512 |


model name: opus-mt-sv-crs


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


language:


- en
- sn
- zu
- rw
- lg
- ts
- ln
- ny
- xh
- rn
- bnt


- translation


## license: apache-2.0


### eng-bnt


* source group: English
* target group: Bantu languages
* OPUS readme: [eng-bnt](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md)
* model: transformer
* source language(s): eng
* target language(s): kin lin lug nya run sna swh toi_Latn tso umb xho zul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kin.eng.kin 	| 12.5 	| 0.519 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.1 	| 0.277 |
| Tatoeba-test.eng-lug.eng.lug 	| 4.8 	| 0.415 |
| Tatoeba-test.eng.multi 	| 12.1 	| 0.449 |
| Tatoeba-test.eng-nya.eng.nya 	| 22.1 	| 0.616 |
| Tatoeba-test.eng-run.eng.run 	| 13.2 	| 0.492 |
| Tatoeba-test.eng-sna.eng.sna 	| 32.1 	| 0.669 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.7 	| 0.180 |
| Tatoeba-test.eng-toi.eng.toi 	| 10.7 	| 0.266 |
| Tatoeba-test.eng-tso.eng.tso 	| 26.9 	| 0.631 |
| Tatoeba-test.eng-umb.eng.umb 	| 5.2 	| 0.295 |
| Tatoeba-test.eng-xho.eng.xho 	| 22.6 	| 0.615 |
| Tatoeba-test.eng-zul.eng.zul 	| 41.1 	| 0.769 |


### System Info:


- hf_name: eng-bnt
- source_languages: eng
- target_languages: bnt
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt']
- src_constituents: {'eng'}
- tgt_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: bnt
- short_pair: en-bnt
- chrF2_score: 0.449
- bleu: 12.1
- brevity_penalty: 1.0
- ref_len: 9989.0
- src_name: English
- tgt_name: Bantu languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: bnt
- prefer_old: False
- long_pair: eng-bnt
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-bnt


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, sn, zu, rw, lg, ts, ln, ny, xh, rn, bnt, transformers, translation, license:apache-2.0, autonlp_compatible


- rn
- es


tags:


### run-spa


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.spa 	| 14.4 	| 0.376 |


- hf_name: run-spa
- source_languages: run
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'es']
- src_constituents: {'run'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: spa
- short_pair: rn-es
- chrF2_score: 0.376
- bleu: 14.4
- brevity_penalty: 1.0
- ref_len: 5167.0
- src_name: Rundi
- tgt_name: Spanish
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: es
- prefer_old: False
- long_pair: run-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-rn-es


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


- translation
license: apache-2.0


### opus-mt-fi-bcl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.bcl 	| 38.4 	| 0.604 |


model name: opus-mt-fi-bcl


model author: Helsinki-NLP


task: translation


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


### opus-mt-en-lg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.lg 	| 30.4 	| 0.543 |
| Tatoeba.en.lg 	| 5.7 	| 0.386 |


model name: opus-mt-en-lg


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


tags:


### opus-mt-wa-en


* source languages: wa
* target languages: en
* OPUS readme: [wa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wa-en/README.md)
* dataset: opus-enwa
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus-enwa-2020-03-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.zip)
* test set translations: [opus-enwa-2020-03-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.test.txt)
* test set scores: [opus-enwa-2020-03-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| enwa.fr.en 	| 42.6 	| 0.564 |


model name: opus-mt-wa-en


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


- translation
license: apache-2.0


### opus-mt-bem-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bem.sv 	| 25.6 	| 0.434 |


model name: opus-mt-bem-sv


model author: Helsinki-NLP


task: translation


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


### opus-mt-is-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.is.en 	| 51.4 	| 0.672 |


model name: opus-mt-is-en


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


language:


- no
- ru


tags:


- translation


## license: apache-2.0


### nor-rus


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.rus 	| 18.6 	| 0.400 |


### System Info:


- hf_name: nor-rus
- source_languages: nor
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'ru']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-rus/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: rus
- short_pair: no-ru
- chrF2_score: 0.4
- bleu: 18.6
- brevity_penalty: 0.958
- ref_len: 10671.0
- src_name: Norwegian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: ru
- prefer_old: False
- long_pair: nor-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-ru


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-de-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.es 	| 48.5 	| 0.676 |


model name: opus-mt-de-es


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


tags:


### opus-mt-sv-nso


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.nso 	| 37.9 	| 0.575 |


model name: opus-mt-sv-nso


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


### opus-mt-fr-sm


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sm 	| 28.8 	| 0.474 |


model name: opus-mt-fr-sm


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-hy-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hy.en 	| 29.5 	| 0.466 |


model name: opus-mt-hy-en


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


language:


- zh
- ms


tags:


- translation


## license: apache-2.0


### zho-msa


* source group: Chinese
* target group: Malay (macrolanguage)
* OPUS readme: [zho-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-msa/README.md)
* model: transformer-align
* source language(s): cmn_Bopo cmn_Hani cmn_Latn hak_Hani yue_Bopo yue_Hani
* target language(s): ind zsm_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.msa 	| 13.9 	| 0.390 |


### System Info:


- hf_name: zho-msa
- source_languages: zho
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'ms']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-msa/opus-2020-06-17.test.txt
- src_alpha3: zho
- tgt_alpha3: msa
- short_pair: zh-ms
- chrF2_score: 0.39
- bleu: 13.9
- brevity_penalty: 0.9229999999999999
- ref_len: 2762.0
- src_name: Chinese
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: zh
- tgt_alpha2: ms
- prefer_old: False
- long_pair: zho-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-ms


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-tw-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tw.sv 	| 29.0 	| 0.471 |


model name: opus-mt-tw-sv


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


tags:


### opus-mt-gil-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.fi 	| 23.1 	| 0.447 |


model name: opus-mt-gil-fi


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


### opus-mt-ht-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.en 	| 37.5 	| 0.542 |
| Tatoeba.ht.en 	| 57.0 	| 0.689 |


model name: opus-mt-ht-en


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-rnd-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rnd.en 	| 37.8 	| 0.531 |


model name: opus-mt-rnd-en


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


tags:


### opus-mt-en-pap


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.pap 	| 40.1 	| 0.586 |
| Tatoeba.en.pap 	| 52.8 	| 0.665 |


model name: opus-mt-en-pap


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


language:


- en
- se
- fi
- hu
- et
- urj


- translation


## license: apache-2.0


### eng-urj


* source group: English
* target group: Uralic languages
* OPUS readme: [eng-urj](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md)
* model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin 	| 18.3 	| 0.519 |
| newsdev2018-enet-engest.eng.est 	| 19.3 	| 0.520 |
| newssyscomb2009-enghun.eng.hun 	| 15.4 	| 0.471 |
| newstest2009-enghun.eng.hun 	| 15.7 	| 0.468 |
| newstest2015-enfi-engfin.eng.fin 	| 20.2 	| 0.534 |
| newstest2016-enfi-engfin.eng.fin 	| 20.7 	| 0.541 |
| newstest2017-enfi-engfin.eng.fin 	| 23.6 	| 0.566 |
| newstest2018-enet-engest.eng.est 	| 20.8 	| 0.535 |
| newstest2018-enfi-engfin.eng.fin 	| 15.8 	| 0.499 |
| newstest2019-enfi-engfin.eng.fin 	| 19.9 	| 0.518 |
| newstestB2016-enfi-engfin.eng.fin 	| 16.6 	| 0.509 |
| newstestB2017-enfi-engfin.eng.fin 	| 19.4 	| 0.529 |
| Tatoeba-test.eng-chm.eng.chm 	| 1.3 	| 0.127 |
| Tatoeba-test.eng-est.eng.est 	| 51.0 	| 0.692 |
| Tatoeba-test.eng-fin.eng.fin 	| 34.6 	| 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv 	| 2.2 	| 0.302 |
| Tatoeba-test.eng-hun.eng.hun 	| 35.6 	| 0.591 |
| Tatoeba-test.eng-izh.eng.izh 	| 5.7 	| 0.211 |
| Tatoeba-test.eng-kom.eng.kom 	| 3.0 	| 0.012 |
| Tatoeba-test.eng-krl.eng.krl 	| 8.5 	| 0.230 |
| Tatoeba-test.eng-liv.eng.liv 	| 2.7 	| 0.077 |
| Tatoeba-test.eng-mdf.eng.mdf 	| 2.8 	| 0.007 |
| Tatoeba-test.eng.multi 	| 35.1 	| 0.588 |
| Tatoeba-test.eng-myv.eng.myv 	| 1.3 	| 0.014 |
| Tatoeba-test.eng-sma.eng.sma 	| 1.8 	| 0.095 |
| Tatoeba-test.eng-sme.eng.sme 	| 6.8 	| 0.204 |
| Tatoeba-test.eng-udm.eng.udm 	| 1.1 	| 0.121 |


### System Info:


- hf_name: eng-urj
- source_languages: eng
- target_languages: urj
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'se', 'fi', 'hu', 'et', 'urj']
- src_constituents: {'eng'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: urj
- short_pair: en-urj
- chrF2_score: 0.588
- bleu: 35.1
- brevity_penalty: 0.943
- ref_len: 59664.0
- src_name: English
- tgt_name: Uralic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: urj
- prefer_old: False
- long_pair: eng-urj
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-urj


model author: Helsinki-NLP


task: translation


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


- en
- tt
- cv
- tk
- tr
- ba
- trk


tags:


### eng-trk


* source group: English
* target group: Turkic languages
* OPUS readme: [eng-trk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md)
* model: transformer
* source language(s): eng
* target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-engtur.eng.tur 	| 10.1 	| 0.437 |
| newstest2016-entr-engtur.eng.tur 	| 9.2 	| 0.410 |
| newstest2017-entr-engtur.eng.tur 	| 9.0 	| 0.410 |
| newstest2018-entr-engtur.eng.tur 	| 9.2 	| 0.413 |
| Tatoeba-test.eng-aze.eng.aze 	| 26.8 	| 0.577 |
| Tatoeba-test.eng-bak.eng.bak 	| 7.6 	| 0.308 |
| Tatoeba-test.eng-chv.eng.chv 	| 4.3 	| 0.270 |
| Tatoeba-test.eng-crh.eng.crh 	| 8.1 	| 0.330 |
| Tatoeba-test.eng-kaz.eng.kaz 	| 11.1 	| 0.359 |
| Tatoeba-test.eng-kir.eng.kir 	| 28.6 	| 0.524 |
| Tatoeba-test.eng-kjh.eng.kjh 	| 1.0 	| 0.041 |
| Tatoeba-test.eng-kum.eng.kum 	| 2.2 	| 0.075 |
| Tatoeba-test.eng.multi 	| 19.9 	| 0.455 |
| Tatoeba-test.eng-ota.eng.ota 	| 0.5 	| 0.065 |
| Tatoeba-test.eng-sah.eng.sah 	| 0.7 	| 0.030 |
| Tatoeba-test.eng-tat.eng.tat 	| 9.7 	| 0.316 |
| Tatoeba-test.eng-tuk.eng.tuk 	| 5.9 	| 0.317 |
| Tatoeba-test.eng-tur.eng.tur 	| 34.6 	| 0.623 |
| Tatoeba-test.eng-tyv.eng.tyv 	| 5.4 	| 0.210 |
| Tatoeba-test.eng-uig.eng.uig 	| 0.1 	| 0.155 |
| Tatoeba-test.eng-uzb.eng.uzb 	| 3.4 	| 0.275 |


- hf_name: eng-trk
- source_languages: eng
- target_languages: trk
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk']
- src_constituents: {'eng'}
- tgt_constituents: {'kir_Cyrl', 'tat_Latn', 'tat', 'chv', 'uzb_Cyrl', 'kaz_Latn', 'aze_Latn', 'crh', 'kjh', 'uzb_Latn', 'ota_Arab', 'tuk_Latn', 'tuk', 'tat_Arab', 'sah', 'tyv', 'tur', 'uig_Arab', 'crh_Latn', 'kaz_Cyrl', 'uig_Cyrl', 'kum', 'ota_Latn', 'bak'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: trk
- short_pair: en-trk
- chrF2_score: 0.455
- bleu: 19.9
- brevity_penalty: 1.0
- ref_len: 57072.0
- src_name: English
- tgt_name: Turkic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: trk
- prefer_old: False
- long_pair: eng-trk
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-trk


tags: pytorch, marian, text2text-generation, en, tt, cv, tk, tr, ba, trk, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-sv-yo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.yo 	| 26.4 	| 0.432 |


model name: opus-mt-sv-yo


model author: Helsinki-NLP


task: translation


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


language:


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


tags:


- translation


## license: apache-2.0


### dra-eng


* source group: Dravidian languages
* target group: English
* OPUS readme: [dra-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dra-eng/README.md)
* model: transformer
* source language(s): kan mal tam tel
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kan-eng.kan.eng 	| 9.1 	| 0.312 |
| Tatoeba-test.mal-eng.mal.eng 	| 42.0 	| 0.584 |
| Tatoeba-test.multi.eng 	| 30.0 	| 0.493 |
| Tatoeba-test.tam-eng.tam.eng 	| 30.2 	| 0.467 |
| Tatoeba-test.tel-eng.tel.eng 	| 15.9 	| 0.378 |


### System Info:


- hf_name: dra-eng
- source_languages: dra
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dra-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']
- src_constituents: {'tam', 'kan', 'mal', 'tel'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt
- src_alpha3: dra
- tgt_alpha3: eng
- short_pair: dra-en
- chrF2_score: 0.493
- bleu: 30.0
- brevity_penalty: 1.0
- ref_len: 10641.0
- src_name: Dravidian languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: dra
- tgt_alpha2: en
- prefer_old: False
- long_pair: dra-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-dra-en


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


- translation
license: apache-2.0


### opus-mt-ig-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ig.en 	| 36.7 	| 0.520 |
| Tatoeba.ig.en 	| 46.3 	| 0.528 |


model name: opus-mt-ig-en


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-fr-ht


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ht 	| 29.2 	| 0.461 |


model name: opus-mt-fr-ht


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


### opus-mt-ny-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ny.en 	| 39.7 	| 0.547 |
| Tatoeba.ny.en 	| 44.2 	| 0.562 |


model name: opus-mt-ny-en


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


- translation
license: apache-2.0


### opus-mt-fr-rnd


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.rnd 	| 21.8 	| 0.431 |


model name: opus-mt-fr-rnd


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-es-ro


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.ro 	| 45.7 	| 0.666 |


model name: opus-mt-es-ro


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


### opus-mt-sv-et


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.et 	| 23.5 	| 0.497 |


model name: opus-mt-sv-et


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


- translation
license: apache-2.0


### opus-mt-fi-lus


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lus 	| 26.3 	| 0.480 |


model name: opus-mt-fi-lus


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-pap-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pap.es 	| 32.3 	| 0.518 |


model name: opus-mt-pap-es


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


### opus-mt-es-efi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.efi 	| 24.6 	| 0.452 |


model name: opus-mt-es-efi


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


- translation
license: apache-2.0


### opus-mt-fr-lue


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lue 	| 23.1 	| 0.485 |


model name: opus-mt-fr-lue


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-guw-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.guw.es 	| 27.2 	| 0.457 |


model name: opus-mt-guw-es


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


### opus-mt-en-tll


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tll 	| 33.6 	| 0.556 |


model name: opus-mt-en-tll


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


language:


- es
- eu


- translation


## license: apache-2.0


### spa-eus


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.eus 	| 37.0 	| 0.638 |


### System Info:


- hf_name: spa-eus
- source_languages: spa
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'eu']
- src_constituents: {'spa'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: eus
- short_pair: es-eu
- chrF2_score: 0.638
- bleu: 37.0
- brevity_penalty: 0.983
- ref_len: 10945.0
- src_name: Spanish
- tgt_name: Basque
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: eu
- prefer_old: False
- long_pair: spa-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-eu


model author: Helsinki-NLP


task: translation


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


- de
- bg


tags:


### deu-bul


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.bul 	| 50.7 	| 0.683 |


- hf_name: deu-bul
- source_languages: deu
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'bg']
- src_constituents: {'deu'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.test.txt
- src_alpha3: deu
- tgt_alpha3: bul
- short_pair: de-bg
- chrF2_score: 0.6829999999999999
- bleu: 50.7
- brevity_penalty: 0.98
- ref_len: 2032.0
- src_name: German
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: de
- tgt_alpha2: bg
- prefer_old: False
- long_pair: deu-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-bg


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


language:


- uk
- tr


- translation


## license: apache-2.0


### ukr-tur


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.tur 	| 39.3 	| 0.655 |


### System Info:


- hf_name: ukr-tur
- source_languages: ukr
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'tr']
- src_constituents: {'ukr'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: tur
- short_pair: uk-tr
- chrF2_score: 0.655
- bleu: 39.3
- brevity_penalty: 0.934
- ref_len: 11844.0
- src_name: Ukrainian
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: tr
- prefer_old: False
- long_pair: ukr-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-tr


model author: Helsinki-NLP


task: translation


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


- az
- es


tags:


### aze-spa


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.aze.spa 	| 11.8 	| 0.346 |


- hf_name: aze-spa
- source_languages: aze
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['az', 'es']
- src_constituents: {'aze_Latn'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-spa/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-spa/opus-2020-06-16.test.txt
- src_alpha3: aze
- tgt_alpha3: spa
- short_pair: az-es
- chrF2_score: 0.34600000000000003
- bleu: 11.8
- brevity_penalty: 1.0
- ref_len: 1144.0
- src_name: Azerbaijani
- tgt_name: Spanish
- train_date: 2020-06-16
- src_alpha2: az
- tgt_alpha2: es
- prefer_old: False
- long_pair: aze-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-az-es


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


- translation
license: apache-2.0


### opus-mt-om-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.om.en 	| 27.3 	| 0.448 |


model name: opus-mt-om-en


model author: Helsinki-NLP


task: translation


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


### opus-mt-mh-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mh.fi 	| 23.3 	| 0.442 |


model name: opus-mt-mh-fi


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


tags:


### opus-mt-es-fi


* source languages: es
* target languages: fi
* OPUS readme: [es-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.zip)
* test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.test.txt)
* test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fi/opus-2020-04-12.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.fi 	| 44.4 	| 0.672 |


model name: opus-mt-es-fi


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


- translation
license: apache-2.0


### opus-mt-fr-sk


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sk 	| 24.9 	| 0.456 |


model name: opus-mt-fr-sk


model author: Helsinki-NLP


task: translation


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


### opus-mt-de-gil