readme: ---
  license: cc-by-sa-4.0
  
  language: 
  - en
  - ja
  
  tags:
  - translation
  
  ---
  
  # FuguMT
  
  This is a translation model using Marian-NMT.
  For more details, please see [my repository](https://github.com/s-taka/fugumt).
  
  * source language: en
  * target language: ja 
  
  ### How to use
  
  This model uses transformers and sentencepiece.
  ```python
  !pip install transformers sentencepiece
  ```
  
  You can use this model directly with a pipeline:
  ```python
  from transformers import pipeline
  fugu_translator = pipeline('translation', model='staka/fugumt-en-ja')
  fugu_translator('This is a cat.')
  ```
  
  ### Eval results
  
  The results of the evaluation using [tatoeba](https://tatoeba.org/ja)(randomly selected 500 sentences) are as follows:
  
  |source |target |BLEU(*1)| 
  |-------|-------|--------|
  |en     |ja     |32.7    |
  
  (*1) sacrebleu --tokenize ja-mecab