
### opus-mt-zne-sv

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.zne.sv 	| 25.2 	| 0.425 |


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

### opus-mt-zne-sv


* source languages: zne
* target languages: sv
* OPUS readme: zne-sv
* 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: 25.2, chr-F: 0.425



### opus-mt-zne-sv


* source languages: zne
* target languages: sv
* OPUS readme: zne-sv
* 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: 25.2, chr-F: 0.425
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #zne #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-zne-sv


* source languages: zne
* target languages: sv
* OPUS readme: zne-sv
* 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: 25.2, chr-F: 0.425
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #zne #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-zne-sv


* source languages: zne
* target languages: sv
* OPUS readme: zne-sv
* 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: 25.2, chr-F: 0.425