Open source real-time translation app for Android that runs locally

Effort to open-source NLLB checkpoints.

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.

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

CLI tool to transcribe (+ translate) videos and embed subtitles automatically.

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

AISumNews or shortened for AI Summarized News is an open source application for displaying summarized news content from around the web.

translatorlab: a machine translation tool that uses artificial intelligence models to provide accurate and fast translations between different languages

Real-time audio translation using Whisper + SeamlessM4T / NLLB-200

German EPUB to bilingual German-Russian converter using NLLB and Gemma (via Ollama). For fun and experiments with NLP and translation.

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

AI-powered document and audio processing pipeline with multilingual translation, LLaMA summarization, and speech synthesis. Supports PDF, DOCX, audio files. Built with PyTorch, Transformers, Whisper, NLLB-200.

Учебный проект "Переводчик клингонский-русский". Мы используем методы глубинного обучения, чтобы сделать достойный переводчик на язык клингонов!

NLLB-200 modelini kullanarak Türkçe-İngilizce ve İspanyolca dilleri arasında metin çevirisi yapan basit bir Streamlit uygulaması. A simple Streamlit app for text translation between Turkish, English and Spanish languages using the NLLB-200 model.

NLLB-200 600M for English-Khasi NMT

Traductor inglés-español basado en Flask y el modelo NLLB de Meta. Implementación práctica de NLP para demostrar cómo integrar modelos de traducción avanzados en aplicaciones web simples y funcionales.