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title: Multi-Language RL Model | |
emoji: π | |
colorFrom: blue | |
colorTo: green | |
sdk: gradio | |
sdk_version: "3.50.2" | |
app_file: app.py | |
pinned: false | |
# π Multi-Language RL Model | |
This repository hosts a lightweight Multi-Language Reinforcement Learning (RL)-style fine-tuned model for text classification. | |
Built with `Gradio` UI + `XLM-RoBERTa` transformer model. | |
π **Features**: | |
- Supports **multiple languages** (English, Hindi, French, German, etc.). | |
- Fine-tuned via **RL-style agent simulation**. | |
- **Quantized model** for super-lightweight deployment. | |
- No API key needed. Runs fully on **CPU** on Hugging Face Spaces! | |
π **How to Use**: | |
1. Enter any text (any language) into the input box. | |
2. Model will classify it as **Correct** or **Incorrect**. | |
3. Enjoy the multilingual support! | |
π οΈ **Tech Stack**: | |
- π€ Hugging Face Transformers | |
- π Datasets (CSV based) | |
- π‘οΈ Gradio Frontend | |
- π₯ PyTorch Backend | |
- π§Ή Lightweight Quantized Model | |
π¨βπ» **Developer**: | |
[Siva Mallikarjun Parvatham] |