- hf_name: deu-tgl
- source_languages: deu
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'tl']
- src_constituents: {'deu'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: tgl
- short_pair: de-tl
- chrF2_score: 0.541
- bleu: 21.2
- brevity_penalty: 1.0
- ref_len: 2329.0
- src_name: German
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: tl
- prefer_old: False
- long_pair: deu-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-tl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ig-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ig.sv 	| 27.0 	| 0.451 |


model name: opus-mt-ig-sv


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


### opus-mt-sg-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sg.fr 	| 24.9 	| 0.420 |


model name: opus-mt-sg-fr


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


### opus-mt-gil-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.fr 	| 24.9 	| 0.424 |


model name: opus-mt-gil-fr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sm-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sm.es 	| 21.3 	| 0.390 |


model name: opus-mt-sm-es


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


### opus-mt-iso-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.fr 	| 25.6 	| 0.422 |


model name: opus-mt-iso-fr


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


### opus-mt-sv-mos


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.mos 	| 22.4 	| 0.379 |


model name: opus-mt-sv-mos


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-nso


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.nso 	| 33.2 	| 0.531 |


model name: opus-mt-es-nso


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


language:


- so
- ti
- am
- he
- mt
- ar
- afa


- translation


## license: apache-2.0


### afa-afa


* source group: Afro-Asiatic languages
* target group: Afro-Asiatic languages
* OPUS readme: [afa-afa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-afa/README.md)
* model: transformer
* source language(s): apc ara arq arz heb kab mlt shy_Latn thv
* target language(s): apc ara arq arz heb kab mlt shy_Latn thv
* 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/afa-afa/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara-ara.ara.ara 	| 4.3 	| 0.148 |
| Tatoeba-test.ara-heb.ara.heb 	| 31.9 	| 0.525 |
| Tatoeba-test.ara-kab.ara.kab 	| 0.3 	| 0.120 |
| Tatoeba-test.ara-mlt.ara.mlt 	| 14.0 	| 0.428 |
| Tatoeba-test.ara-shy.ara.shy 	| 1.3 	| 0.050 |
| Tatoeba-test.heb-ara.heb.ara 	| 17.0 	| 0.464 |
| Tatoeba-test.heb-kab.heb.kab 	| 1.9 	| 0.104 |
| Tatoeba-test.kab-ara.kab.ara 	| 0.3 	| 0.044 |
| Tatoeba-test.kab-heb.kab.heb 	| 5.1 	| 0.099 |
| Tatoeba-test.kab-shy.kab.shy 	| 2.2 	| 0.009 |
| Tatoeba-test.kab-tmh.kab.tmh 	| 10.7 	| 0.007 |
| Tatoeba-test.mlt-ara.mlt.ara 	| 29.1 	| 0.498 |
| Tatoeba-test.multi.multi 	| 20.8 	| 0.434 |
| Tatoeba-test.shy-ara.shy.ara 	| 1.2 	| 0.053 |
| Tatoeba-test.shy-kab.shy.kab 	| 2.0 	| 0.134 |
| Tatoeba-test.tmh-kab.tmh.kab 	| 0.0 	| 0.047 |


### System Info:


- hf_name: afa-afa
- source_languages: afa
- target_languages: afa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-afa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']
- src_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
- tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.test.txt
- src_alpha3: afa
- tgt_alpha3: afa
- short_pair: afa-afa
- chrF2_score: 0.434
- bleu: 20.8
- brevity_penalty: 1.0
- ref_len: 15215.0
- src_name: Afro-Asiatic languages
- tgt_name: Afro-Asiatic languages
- train_date: 2020-07-26
- src_alpha2: afa
- tgt_alpha2: afa
- prefer_old: False
- long_pair: afa-afa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-afa-afa


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-it


* source languages: es
* target languages: it
* OPUS readme: [es-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-it/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.zip)
* test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.test.txt)
* test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-it/opus-2020-01-29.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.it 	| 55.9 	| 0.751 |


model name: opus-mt-es-it


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


### opus-mt-es-sn


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.sn 	| 23.6 	| 0.528 |


model name: opus-mt-es-sn


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


### opus-mt-fi-pag


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.pag 	| 28.0 	| 0.510 |


model name: opus-mt-fi-pag


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-ho


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ho 	| 25.7 	| 0.496 |


model name: opus-mt-fi-ho


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


### opus-mt-fr-ig


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ig 	| 29.0 	| 0.445 |


model name: opus-mt-fr-ig


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


### opus-mt-nso-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.sv 	| 34.3 	| 0.527 |


model name: opus-mt-nso-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-id


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.id 	| 35.6 	| 0.581 |


model name: opus-mt-sv-id


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


### opus-mt-es-wls


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.wls 	| 22.9 	| 0.437 |


model name: opus-mt-es-wls


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


language:


- ar
- pl


- translation


## license: apache-2.0


### ara-pol


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.pol 	| 38.0 	| 0.623 |


### System Info:


- hf_name: ara-pol
- source_languages: ara
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'pl']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-pol/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-pol/opus-2020-07-03.test.txt
- src_alpha3: ara
- tgt_alpha3: pol
- short_pair: ar-pl
- chrF2_score: 0.623
- bleu: 38.0
- brevity_penalty: 0.948
- ref_len: 1171.0
- src_name: Arabic
- tgt_name: Polish
- train_date: 2020-07-03
- src_alpha2: ar
- tgt_alpha2: pl
- prefer_old: False
- long_pair: ara-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-pl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ee-de


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.de 	| 22.3 	| 0.430 |


model name: opus-mt-ee-de


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


### opus-mt-af-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.af.fi 	| 32.3 	| 0.576 |


model name: opus-mt-af-fi


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


language:


- es
- tl


- translation


## license: apache-2.0


### spa-tgl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.tgl 	| 24.7 	| 0.538 |


### System Info:


- hf_name: spa-tgl
- source_languages: spa
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'tl']
- src_constituents: {'spa'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-tgl/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: tgl
- short_pair: es-tl
- chrF2_score: 0.5379999999999999
- bleu: 24.7
- brevity_penalty: 1.0
- ref_len: 4422.0
- src_name: Spanish
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: tl
- prefer_old: False
- long_pair: spa-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-tl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-gaa


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gaa 	| 27.8 	| 0.473 |


model name: opus-mt-fr-gaa


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


language:


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


- translation


## license: apache-2.0


### cel-eng


* source group: Celtic languages
* target group: English
* OPUS readme: [cel-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md)
* model: transformer
* source language(s): bre cor cym gla gle glv
* 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/cel-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bre-eng.bre.eng 	| 17.2 	| 0.385 |
| Tatoeba-test.cor-eng.cor.eng 	| 3.0 	| 0.172 |
| Tatoeba-test.cym-eng.cym.eng 	| 41.5 	| 0.582 |
| Tatoeba-test.gla-eng.gla.eng 	| 15.4 	| 0.330 |
| Tatoeba-test.gle-eng.gle.eng 	| 50.8 	| 0.668 |
| Tatoeba-test.glv-eng.glv.eng 	| 11.0 	| 0.297 |
| Tatoeba-test.multi.eng 	| 22.8 	| 0.398 |


### System Info:


- hf_name: cel-eng
- source_languages: cel
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en']
- src_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt
- src_alpha3: cel
- tgt_alpha3: eng
- short_pair: cel-en
- chrF2_score: 0.39799999999999996
- bleu: 22.8
- brevity_penalty: 1.0
- ref_len: 42097.0
- src_name: Celtic languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: cel
- tgt_alpha2: en
- prefer_old: False
- long_pair: cel-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cel-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-uk-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.en 	| 64.1 	| 0.757 |


model name: opus-mt-uk-en


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


### opus-mt-en-ho


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ho 	| 33.9 	| 0.563 |


model name: opus-mt-en-ho


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


### opus-mt-en-rnd


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.rnd 	| 34.5 	| 0.571 |


model name: opus-mt-en-rnd


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sl-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sl.fi 	| 23.4 	| 0.517 |


model name: opus-mt-sl-fi


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


language:


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


- translation


## license: apache-2.0


### gmq-eng


* source group: North Germanic languages
* target group: English
* OPUS readme: [gmq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md)
* model: transformer
* source language(s): dan fao isl nno nob nob_Hebr non_Latn swe
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip)
* test set translations: [opus2m-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt)
* test set scores: [opus2m-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.multi.eng 	| 58.1 	| 0.720 |


### System Info:


- hf_name: gmq-eng
- source_languages: gmq
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en']
- src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt
- src_alpha3: gmq
- tgt_alpha3: eng
- short_pair: gmq-en
- chrF2_score: 0.72
- bleu: 58.1
- brevity_penalty: 0.982
- ref_len: 72641.0
- src_name: North Germanic languages
- tgt_name: English
- train_date: 2020-07-26
- src_alpha2: gmq
- tgt_alpha2: en
- prefer_old: False
- long_pair: gmq-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gmq-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-tr


* source languages: fi
* target languages: tr
* OPUS readme: [fi-tr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tr/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/fi-tr/opus-2020-04-12.zip)
* test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.test.txt)
* test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.tr 	| 31.6 	| 0.619 |


model name: opus-mt-fi-tr


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


### opus-mt-sv-yap


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.yap 	| 27.3 	| 0.461 |


model name: opus-mt-sv-yap


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


### opus-mt-de-it


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.it 	| 45.3 	| 0.671 |


model name: opus-mt-de-it


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ceb-es


* source languages: ceb
* target languages: es
* OPUS readme: [ceb-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-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/ceb-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ceb.es 	| 31.6 	| 0.508 |


model name: opus-mt-ceb-es


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


### opus-mt-en-id


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.id 	| 38.3 	| 0.636 |


model name: opus-mt-en-id


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


### opus-mt-iso-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.es 	| 22.4 	| 0.394 |


model name: opus-mt-iso-es


model author: Helsinki-NLP


task: translation


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


language:


- ca
- es
- os
- ro
- fy
- cy
- sc
- is
- yi
- lb
- an
- sq
- fr
- ht
- rm
- ps
- af
- uk
- sl
- lt
- bg
- be
- gd
- si
- en
- 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


tags:


- translation


## license: apache-2.0


### ine-ine


* source group: Indo-European languages
* target group: Indo-European languages
* OPUS readme: [ine-ine](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ine-ine/README.md)
* model: transformer
* source language(s): afr afr_Arab aln ang_Latn arg asm ast awa bel bel_Latn ben bho bjn bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell eng 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 hye_Latn ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Grek 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 pcd pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus rus_Latn san_Deva scn sco sgs sin slv snd_Arab spa sqi srd srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza
* target language(s): afr afr_Arab aln ang_Latn arg asm ast awa bel bel_Latn ben bho bjn bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell eng 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 hye_Latn ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Grek 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 pcd pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus rus_Latn san_Deva scn sco sgs sin slv snd_Arab spa sqi srd 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.eval.txt)


## Benchmarks