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.
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!
A professional PDF translation tool that allows you to translate PDF documents into multiple languages using advanced AI models and APIs.
translatorlab: a machine translation tool that uses artificial intelligence models to provide accurate and fast translations between different languages
🌐 Sophisticated Telegram translator bot with automatic language detection, 50+ language pairs, and Helsinki-NLP models. Built with FastAPI, aiogram, and transformers.
High-performance, asynchronous translation service leveraging the Helsinki-NLP OPUS-MT zh-en model optimized via CTranslate2. The solution provides a RESTful API endpoint that accepts Chinese text input and returns English translations with sub-second latency. Development supported by DeepSeek.
Translate english srt-file to foreign language
Translate English tech docs (Markdown) to Russian while preserving code blocks, headings, and formatting. Powered by Hugging Face’s opus-mt-en-ru model. Ideal for developers & writers!
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.
Linguaflow is a multilingual translation API built using FastAPI and MarianMT from Hugging Face Transformers. This project enables translation between English and other languages like French, Portuguese, and Spanish.
Translate JSON localizations automatically - Helsinki NLP model
A machine translation project featuring RNN-based Seq2Seq, Transformer model, and pretrained models for translating English to Spanish and Urdu.
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
Using LLMs in huggingface for sentiment analysis, translation, summarization and extractive question answering
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