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

Crash course on LangChain for LLM Application Developement by DeepLearningAI

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

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

nllb-200 wrapper with javascript.

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

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.

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

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

Text translator with electron.