softcatala/translate-cat-ita

🤗 Hugging Face 来源translationmit144 MBother✓ 2 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo softcatala/translate-cat-ita ./model-folder
需要做种者 →

Introduction

Catalan - Italian 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-ita", 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) 38.3
Flores200 dataset 25.1

Additional information