
### opus-mt-sv-en

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.en 	| 64.5 	| 0.763 |
{"license": "apache-2.0", "pipeline_tag": "translation"}
transformers pytorch tf rust marian text2text-generation translation sv en license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #sv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### opus-mt-sv-en


* source languages: sv
* target languages: en
* OPUS readme: sv-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: 64.5, chr-F: 0.763



### opus-mt-sv-en


* source languages: sv
* target languages: en
* OPUS readme: sv-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: 64.5, chr-F: 0.763
TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #sv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-sv-en


* source languages: sv
* target languages: en
* OPUS readme: sv-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: 64.5, chr-F: 0.763
passage: TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #sv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-sv-en


* source languages: sv
* target languages: en
* OPUS readme: sv-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: 64.5, chr-F: 0.763