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:
source | target | BLEU(*1) |
---|---|---|
ja | en | 39.1 |
(*1) sacrebleu
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