nllb200

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.

This project use the Meta NLLB-200 translation model through the Hugging Face transformers library.

nllb-200 distilled 350M for English to Korean translation

Example application for the task of fine-tuning pretrained machine translation models on highly domain-specific, self-extracted translated sentences

Crash course on LangChain for LLM Application Developement by DeepLearningAI

Gradio AI Transformer Translator used meta/nllb-200-distilled-600M

NLLBTranslateServer - A ready-to-use translate system

Translator demo app built with Transformers.js + Tamagui + Next.js

nlingua2 – Command-line tool for transcribing and translating .srt subtitles using offline AI models (OpenAI Whisper + Meta NLLB).

Transformo Doc

Repository of our paper Nesciun Lengaz Lascià Endò: Machine Translation for Fassa Ladin.

A telegram bot for text, voice, and image translation using NLLB and dl-translate

This project is a Flask-based web application that translates text from one language to another using a pre-trained machine translation model (NLLB-200). The application provides a user-friendly interface for selecting languages and entering text, and it returns the translated output along with the computation time.

Click below to checkout the website

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.

A fully local implementation of NLLB 200, built while following the documentation of transformers.js