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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')

Eval results

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

source target BLEU(*1)
ja en 39.1

(*1) sacrebleu

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