
### 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)

## Benchmarks

| 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 |


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

### opus-mt-cs-en


* source languages: cs
* target languages: en
* OPUS readme: cs-en
* 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: 34.1, chr-F: 0.612
testset: URL, BLEU: 30.4, chr-F: 0.565
testset: URL, BLEU: 31.8, chr-F: 0.584
testset: URL, BLEU: 28.7, chr-F: 0.556
testset: URL, BLEU: 30.3, chr-F: 0.566
testset: URL, BLEU: 58.0, chr-F: 0.721



### opus-mt-cs-en


* source languages: cs
* target languages: en
* OPUS readme: cs-en
* 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: 34.1, chr-F: 0.612
testset: URL, BLEU: 30.4, chr-F: 0.565
testset: URL, BLEU: 31.8, chr-F: 0.584
testset: URL, BLEU: 28.7, chr-F: 0.556
testset: URL, BLEU: 30.3, chr-F: 0.566
testset: URL, BLEU: 58.0, chr-F: 0.721
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #cs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-cs-en


* source languages: cs
* target languages: en
* OPUS readme: cs-en
* 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: 34.1, chr-F: 0.612
testset: URL, BLEU: 30.4, chr-F: 0.565
testset: URL, BLEU: 31.8, chr-F: 0.584
testset: URL, BLEU: 28.7, chr-F: 0.556
testset: URL, BLEU: 30.3, chr-F: 0.566
testset: URL, BLEU: 58.0, chr-F: 0.721
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #cs #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-cs-en


* source languages: cs
* target languages: en
* OPUS readme: cs-en
* 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: 34.1, chr-F: 0.612
testset: URL, BLEU: 30.4, chr-F: 0.565
testset: URL, BLEU: 31.8, chr-F: 0.584
testset: URL, BLEU: 28.7, chr-F: 0.556
testset: URL, BLEU: 30.3, chr-F: 0.566
testset: URL, BLEU: 58.0, chr-F: 0.721