
### opus-mt-ru-es

* source languages: ru
* target languages: es
*  OPUS readme: [ru-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-es/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/ru-es/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012.ru.es 	| 26.1 	| 0.527 |
| newstest2013.ru.es 	| 28.2 	| 0.538 |
| Tatoeba.ru.es 	| 49.4 	| 0.675 |


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

### opus-mt-ru-es


* source languages: ru
* target languages: es
* OPUS readme: ru-es
* 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: 26.1, chr-F: 0.527
testset: URL, BLEU: 28.2, chr-F: 0.538
testset: URL, BLEU: 49.4, chr-F: 0.675



### opus-mt-ru-es


* source languages: ru
* target languages: es
* OPUS readme: ru-es
* 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: 26.1, chr-F: 0.527
testset: URL, BLEU: 28.2, chr-F: 0.538
testset: URL, BLEU: 49.4, chr-F: 0.675
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ru #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-ru-es


* source languages: ru
* target languages: es
* OPUS readme: ru-es
* 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: 26.1, chr-F: 0.527
testset: URL, BLEU: 28.2, chr-F: 0.538
testset: URL, BLEU: 49.4, chr-F: 0.675
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ru #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-ru-es


* source languages: ru
* target languages: es
* OPUS readme: ru-es
* 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: 26.1, chr-F: 0.527
testset: URL, BLEU: 28.2, chr-F: 0.538
testset: URL, BLEU: 49.4, chr-F: 0.675