FuguMT

This is a translation model using Marian-NMT. For more details, please see my repository.

• source language: ja
• target language: en

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-ja-en')
fugu_translator('猫はかわいいです。')

Eval results

The results of the evaluation using tatoeba(randomly selected 500 sentences) are as follows:

(*1) sacrebleu