Fine-tuned and compared 3 🤗 pre-trained Multilingual LLMs
This project provides a tool for automatically generating subtitles for videos, supporting both transcription and translation into multiple languages using Whisper and Helsinki-NLP MarianMT models.
translatorlab: a machine translation tool that uses artificial intelligence models to provide accurate and fast translations between different languages
The Multilingual Translator is a real-time text translation tool built using Hugging Face’s Helsinki-NLP/opus-mt models. It supports multiple language pairs and provides instant translations via a responsive ReactJS frontend and a scalable Flask backend. Perfect for breaking language barriers in travel, education, business, and more!
This project involves fine-tuning Helsinki's English-to-Japanese language translation model using the KDE4 dataset to improve translation quality for domain-specific text.
A machine translation project featuring RNN-based Seq2Seq, Transformer model, and pretrained models for translating English to Spanish and Urdu.
Translate JSON localizations automatically - Helsinki NLP model
Translate from English to French using machine translation models. It includes training and evaluating Helsinki-NLP's Opus-MT and Google's T5 models on the WMT14 French-English dataset. The integration allows users to practice literacy in both English and French
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