metadata
language:
- ca
- jp
tags:
- translation
library_name: opennmt
license: mit
metrics:
- bleu
inference: false
Introduction
Catalan - Japanese translation model for OpenNMT. These are the same models that we have in production at https://www.softcatala.org/traductor/. The models are quantified for low latency.
Usage
Install the necessary dependencies:
pip3 install ctranslate2 pyonmttok
Simple tokenization & translation using Python:
import ctranslate2
import pyonmttok
from huggingface_hub import snapshot_download
model_dir = snapshot_download(repo_id="softcatala/translate-cat-jpn", revision="main")
tokenizer=pyonmttok.Tokenizer(mode="none", sp_model_path = model_dir + "/sp_m.model")
tokenized=tokenizer.tokenize("Hola amics")
translator = ctranslate2.Translator(model_dir)
translated = translator.translate_batch([tokenized[0]])
print(tokenizer.detokenize(translated[0][0]['tokens']))
Benchmarks
| testset | BLEU |
|---|---|
| test dataset (from train/dev/test) | 21.3 |
| Flores200 dataset | 19.8 |