
### marian-mt-en-pcm

* source language: en (English)
* target language: pcm (Nigerian Pidgin)

* dataset: Parallel Sentences from the message translation (English) and Pidgin translation of the Bible. 
* model: transformer-align
* pre-processing: normalization + SentencePiece

## Performance

| test set            | BLEU  |
|---------------------|-------|
| 20% of the bible data | 22	|
{"license": "mit"}
transformers pytorch marian text2text-generation license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #marian #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 

### marian-mt-en-pcm


* source language: en (English)
* target language: pcm (Nigerian Pidgin)
* dataset: Parallel Sentences from the message translation (English) and Pidgin translation of the Bible.
* model: transformer-align
* pre-processing: normalization + SentencePiece


Performance
-----------




### marian-mt-en-pcm


* source language: en (English)
* target language: pcm (Nigerian Pidgin)
* dataset: Parallel Sentences from the message translation (English) and Pidgin translation of the Bible.
* model: transformer-align
* pre-processing: normalization + SentencePiece


Performance
-----------
TAGS
#transformers #pytorch #marian #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### marian-mt-en-pcm


* source language: en (English)
* target language: pcm (Nigerian Pidgin)
* dataset: Parallel Sentences from the message translation (English) and Pidgin translation of the Bible.
* model: transformer-align
* pre-processing: normalization + SentencePiece


Performance
-----------
passage: TAGS
#transformers #pytorch #marian #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
### marian-mt-en-pcm


* source language: en (English)
* target language: pcm (Nigerian Pidgin)
* dataset: Parallel Sentences from the message translation (English) and Pidgin translation of the Bible.
* model: transformer-align
* pre-processing: normalization + SentencePiece


Performance
-----------