metadata
language:
- en
- ja
- multilingual
license: cc-by-sa-4.0
tags:
- translation
FuguMT
This is a translation model using Marian-NMT. For more details, please see my repository.
- source language: en
- target language: ja
How to use
This model uses transformers and sentencepiece.
!pip install transformers sentencepiece
You can use this model directly with a pipeline:
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(randomly selected 500 sentences) are as follows:
| source | target | BLEU(*1) |
|---|---|---|
| en | ja | 32.7 |
(*1) sacrebleu --tokenize ja-mecab