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
- Downloads last month
- 1,048
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.