Translation · GitHub ·4 ★

Language_Translation_Model

A Gradio-powered app using LangChain and Hugging Face models for multilingual translation, supporting 10+ language pairs. Features enhanced Cantonese translation, dual modes, GPU acceleration, a user-friendly UI, and batch processing capabilities for seamless text translation.

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Details

Author
WWIIITT
Category
Translation
Platform
GitHub
Framework
langchain
Language
python
Stars
4
First indexed
2026-05-15
Last active
2025-06-27
Directory sync
2026-05-15
@WWIIITT

Overview

A Gradio-powered app using LangChain and Hugging Face models for multilingual translation, supporting 10+ language pairs. Features enhanced Cantonese translation, dual modes, GPU acceleration, a user-friendly UI, and batch processing capabilities for seamless text translation.

Quick start

git

git clone https://github.com/WWIIITT/Language_Translation_Model

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Language_Translation_Model can do

translatmultilingual
  • Translat — translat task automation.
  • Multilingual — multilingual task automation.

Frequently asked questions

What is Language_Translation_Model?
A Gradio-powered app using LangChain and Hugging Face models for multilingual translation, supporting 10+ language pairs. Features enhanced Cantonese translation, dual modes, GPU acceleration, a user-friendly UI, and batch processing capabilities for seamless text translation.
How do I install Language_Translation_Model?
Use git: `git clone https://github.com/WWIIITT/Language_Translation_Model`. Full setup details on the source page linked above.
Is Language_Translation_Model open source?
Language_Translation_Model is published on GitHub.
What are alternatives to Language_Translation_Model?
Comparable agents include PDFMathTranslate, faster-whisper, Easydict. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Language_Translation_Model is sourced from GitHub, published by WWIIITT.

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