
### zls-zls

* source group: South Slavic languages 
* target group: South Slavic languages 
*  OPUS readme: [zls-zls](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-zls/README.md)

*  model: transformer
* source language(s): bul mkd srp_Cyrl
* target language(s): bul mkd srp_Cyrl
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul-hbs.bul.hbs 	| 19.3 	| 0.514 |
| Tatoeba-test.bul-mkd.bul.mkd 	| 31.9 	| 0.669 |
| Tatoeba-test.hbs-bul.hbs.bul 	| 18.0 	| 0.636 |
| Tatoeba-test.hbs-mkd.hbs.mkd 	| 19.4 	| 0.322 |
| Tatoeba-test.mkd-bul.mkd.bul 	| 44.6 	| 0.679 |
| Tatoeba-test.mkd-hbs.mkd.hbs 	| 5.5 	| 0.152 |
| Tatoeba-test.multi.multi 	| 26.5 	| 0.563 |


### System Info: 
- hf_name: zls-zls

- source_languages: zls

- target_languages: zls

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-zls/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['hr', 'mk', 'bg', 'sl', 'zls']

- src_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}

- tgt_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}

- src_multilingual: True

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.test.txt

- src_alpha3: zls

- tgt_alpha3: zls

- short_pair: zls-zls

- chrF2_score: 0.563

- bleu: 26.5

- brevity_penalty: 1.0

- ref_len: 58.0

- src_name: South Slavic languages

- tgt_name: South Slavic languages

- train_date: 2020-07-27

- src_alpha2: zls

- tgt_alpha2: zls

- prefer_old: False

- long_pair: zls-zls

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["hr", "mk", "bg", "sl", "zls"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation hr mk bg sl zls license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #hr #mk #bg #sl #zls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### zls-zls


* source group: South Slavic languages
* target group: South Slavic languages
* OPUS readme: zls-zls
* model: transformer
* source language(s): bul mkd srp\_Cyrl
* target language(s): bul mkd srp\_Cyrl
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 19.3, chr-F: 0.514
testset: URL, BLEU: 31.9, chr-F: 0.669
testset: URL, BLEU: 18.0, chr-F: 0.636
testset: URL, BLEU: 19.4, chr-F: 0.322
testset: URL, BLEU: 44.6, chr-F: 0.679
testset: URL, BLEU: 5.5, chr-F: 0.152
testset: URL, BLEU: 26.5, chr-F: 0.563


### System Info:


* hf\_name: zls-zls
* source\_languages: zls
* target\_languages: zls
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['hr', 'mk', 'bg', 'sl', 'zls']
* src\_constituents: {'hrv', 'mkd', 'srp\_Latn', 'srp\_Cyrl', 'bul\_Latn', 'bul', 'bos\_Latn', 'slv'}
* tgt\_constituents: {'hrv', 'mkd', 'srp\_Latn', 'srp\_Cyrl', 'bul\_Latn', 'bul', 'bos\_Latn', 'slv'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zls
* tgt\_alpha3: zls
* short\_pair: zls-zls
* chrF2\_score: 0.563
* bleu: 26.5
* brevity\_penalty: 1.0
* ref\_len: 58.0
* src\_name: South Slavic languages
* tgt\_name: South Slavic languages
* train\_date: 2020-07-27
* src\_alpha2: zls
* tgt\_alpha2: zls
* prefer\_old: False
* long\_pair: zls-zls
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### zls-zls


* source group: South Slavic languages
* target group: South Slavic languages
* OPUS readme: zls-zls
* model: transformer
* source language(s): bul mkd srp\_Cyrl
* target language(s): bul mkd srp\_Cyrl
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 19.3, chr-F: 0.514
testset: URL, BLEU: 31.9, chr-F: 0.669
testset: URL, BLEU: 18.0, chr-F: 0.636
testset: URL, BLEU: 19.4, chr-F: 0.322
testset: URL, BLEU: 44.6, chr-F: 0.679
testset: URL, BLEU: 5.5, chr-F: 0.152
testset: URL, BLEU: 26.5, chr-F: 0.563 ### System Info:


* hf\_name: zls-zls
* source\_languages: zls
* target\_languages: zls
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['hr', 'mk', 'bg', 'sl', 'zls']
* src\_constituents: {'hrv', 'mkd', 'srp\_Latn', 'srp\_Cyrl', 'bul\_Latn', 'bul', 'bos\_Latn', 'slv'}
* tgt\_constituents: {'hrv', 'mkd', 'srp\_Latn', 'srp\_Cyrl', 'bul\_Latn', 'bul', 'bos\_Latn', 'slv'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zls
* tgt\_alpha3: zls
* short\_pair: zls-zls
* chrF2\_score: 0.563
* bleu: 26.5
* brevity\_penalty: 1.0
* ref\_len: 58.0
* src\_name: South Slavic languages
* tgt\_name: South Slavic languages
* train\_date: 2020-07-27
* src\_alpha2: zls
* tgt\_alpha2: zls
* prefer\_old: False
* long\_pair: zls-zls
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #hr #mk #bg #sl #zls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### zls-zls


* source group: South Slavic languages
* target group: South Slavic languages
* OPUS readme: zls-zls
* model: transformer
* source language(s): bul mkd srp\_Cyrl
* target language(s): bul mkd srp\_Cyrl
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 19.3, chr-F: 0.514
testset: URL, BLEU: 31.9, chr-F: 0.669
testset: URL, BLEU: 18.0, chr-F: 0.636
testset: URL, BLEU: 19.4, chr-F: 0.322
testset: URL, BLEU: 44.6, chr-F: 0.679
testset: URL, BLEU: 5.5, chr-F: 0.152
testset: URL, BLEU: 26.5, chr-F: 0.563 ### System Info:


* hf\_name: zls-zls
* source\_languages: zls
* target\_languages: zls
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['hr', 'mk', 'bg', 'sl', 'zls']
* src\_constituents: {'hrv', 'mkd', 'srp\_Latn', 'srp\_Cyrl', 'bul\_Latn', 'bul', 'bos\_Latn', 'slv'}
* tgt\_constituents: {'hrv', 'mkd', 'srp\_Latn', 'srp\_Cyrl', 'bul\_Latn', 'bul', 'bos\_Latn', 'slv'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: zls
* tgt\_alpha3: zls
* short\_pair: zls-zls
* chrF2\_score: 0.563
* bleu: 26.5
* brevity\_penalty: 1.0
* ref\_len: 58.0
* src\_name: South Slavic languages
* tgt\_name: South Slavic languages
* train\_date: 2020-07-27
* src\_alpha2: zls
* tgt\_alpha2: zls
* prefer\_old: False
* long\_pair: zls-zls
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #hr #mk #bg #sl #zls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### zls-zls


* source group: South Slavic languages
* target group: South Slavic languages
* OPUS readme: zls-zls
* model: transformer
* source language(s): bul mkd srp\_Cyrl
* target language(s): bul mkd srp\_Cyrl
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 19.3, chr-F: 0.514
testset: URL, BLEU: 31.9, chr-F: 0.669
testset: URL, BLEU: 18.0, chr-F: 0.636
testset: URL, BLEU: 19.4, chr-F: 0.322
testset: URL, BLEU: 44.6, chr-F: 0.679
testset: URL, BLEU: 5.5, chr-F: 0.152
testset: URL, BLEU: 26.5, chr-F: 0.563