
### opus-mt-es-fr

* source languages: es
* target languages: fr
*  OPUS readme: [es-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fr/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-fr/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.es.fr 	| 33.6 	| 0.610 |
| news-test2008.es.fr 	| 32.0 	| 0.585 |
| newstest2009.es.fr 	| 32.5 	| 0.590 |
| newstest2010.es.fr 	| 35.0 	| 0.615 |
| newstest2011.es.fr 	| 33.9 	| 0.607 |
| newstest2012.es.fr 	| 32.4 	| 0.602 |
| newstest2013.es.fr 	| 32.1 	| 0.593 |
| Tatoeba.es.fr 	| 58.4 	| 0.731 |


{"license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation es fr license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### opus-mt-es-fr


* source languages: es
* target languages: fr
* OPUS readme: es-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 33.6, chr-F: 0.610
testset: URL, BLEU: 32.0, chr-F: 0.585
testset: URL, BLEU: 32.5, chr-F: 0.590
testset: URL, BLEU: 35.0, chr-F: 0.615
testset: URL, BLEU: 33.9, chr-F: 0.607
testset: URL, BLEU: 32.4, chr-F: 0.602
testset: URL, BLEU: 32.1, chr-F: 0.593
testset: URL, BLEU: 58.4, chr-F: 0.731



### opus-mt-es-fr


* source languages: es
* target languages: fr
* OPUS readme: es-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 33.6, chr-F: 0.610
testset: URL, BLEU: 32.0, chr-F: 0.585
testset: URL, BLEU: 32.5, chr-F: 0.590
testset: URL, BLEU: 35.0, chr-F: 0.615
testset: URL, BLEU: 33.9, chr-F: 0.607
testset: URL, BLEU: 32.4, chr-F: 0.602
testset: URL, BLEU: 32.1, chr-F: 0.593
testset: URL, BLEU: 58.4, chr-F: 0.731
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-es-fr


* source languages: es
* target languages: fr
* OPUS readme: es-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 33.6, chr-F: 0.610
testset: URL, BLEU: 32.0, chr-F: 0.585
testset: URL, BLEU: 32.5, chr-F: 0.590
testset: URL, BLEU: 35.0, chr-F: 0.615
testset: URL, BLEU: 33.9, chr-F: 0.607
testset: URL, BLEU: 32.4, chr-F: 0.602
testset: URL, BLEU: 32.1, chr-F: 0.593
testset: URL, BLEU: 58.4, chr-F: 0.731
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-es-fr


* source languages: es
* target languages: fr
* OPUS readme: es-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 33.6, chr-F: 0.610
testset: URL, BLEU: 32.0, chr-F: 0.585
testset: URL, BLEU: 32.5, chr-F: 0.590
testset: URL, BLEU: 35.0, chr-F: 0.615
testset: URL, BLEU: 33.9, chr-F: 0.607
testset: URL, BLEU: 32.4, chr-F: 0.602
testset: URL, BLEU: 32.1, chr-F: 0.593
testset: URL, BLEU: 58.4, chr-F: 0.731