This project use the Meta NLLB-200 translation model through the Hugging Face transformers library.
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Updated
Nov 2, 2023 - Python
This project use the Meta NLLB-200 translation model through the Hugging Face transformers library.
nllb-200 distilled 350M for English to Korean translation
This repository contains Python implementations for processing multilingual text data, focusing on language classification and translation tasks. The project addresses two distinct tasks: language classification and English translation, each involving different complexities in the processing of text data.
Text translator with electron.
Example application for the task of fine-tuning pretrained machine translation models on highly domain-specific, self-extracted translated sentences
A fully local implementation of NLLB 200, built while following the documentation of transformers.js
Gradio AI Transformer Translator used meta/nllb-200-distilled-600M
Click below to checkout the website
Translator demo app built with Transformers.js + Tamagui + Next.js
Easy-Translate is a script for translating large text files with a SINGLE COMMAND. Easy-Translate is designed to be as easy as possible for beginners and as seamlesscustomizable and as possible for advanced users.
A performant high-throughput CPU-based API for Meta's No Language Left Behind (NLLB) using CTranslate2, hosted on Hugging Face Spaces.
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