README.md

HuggingFace Model Selector

Automatically find, evaluate, and deploy the best HuggingFace models for your specific task.

Features

• Natural Language Understanding: Describe your task in plain English
• Intelligent Search: Finds relevant models on HuggingFace Hub
• Multi-criteria Scoring: Evaluates models based on downloads, recency, license, size, and performance
• Real Benchmarking: Tests actual inference speed and memory usage
• Deployment Generation: Creates production-ready FastAPI/Gradio/Docker code
• Comprehensive Documentation: Auto-generated README and configuration files

Installation

# Clone the repository
git clone https://github.com/yourusername/huggingface-model-selector.git
cd huggingface-model-selector

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt