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  short_description: A streamlined platform for fine-tuning
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  short_description: A streamlined platform for fine-tuning
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  ---
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+ # CodeGen Hub πŸš€
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+ [![Run on Replit](https://replit.com/badge?caption=Run%20on%20Replit)](https://replit.com/@replit/CodeGen-Hub) ![Status](https://img.shields.io/badge/status-active-success) ![Python](https://img.shields.io/badge/python-v3.11-blue)
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+ A streamlined platform for training and using code generation models with Hugging Face integration πŸ€—
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+ ## ✨ Features
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+ - πŸ“Š Upload and preprocess Python code datasets
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+ - πŸ› οΈ Configure and train models with customizable parameters
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+ - πŸ’‘ Generate code predictions using trained models
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+ - πŸ“ˆ Monitor training progress with visualizations
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+ - πŸ”„ Seamless integration with Hugging Face Hub
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+ ## πŸš€ Getting Started
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+ 1. Run the Streamlit app
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+ 2. Upload your Python code dataset in the Dataset Management section
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+ 3. Train your model in the Model Training section
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+ 4. Generate code using your trained models in the Code Generation section
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+ ## πŸ› οΈ Technology Stack
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+ - Streamlit for the web interface
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+ - PyTorch for model training
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+ - Hugging Face Transformers for code generation
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+ - Pandas for data handling
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+ - Plotly for visualizations
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+ ## πŸ’» Development
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+ Run linting and tests:
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+ ```bash
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+ ./scripts/lint.sh
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+ ```
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+ ## πŸ“ License
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+ MIT License - feel free to use and modify!
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+ ## 🀝 Contributing
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+ Contributions welcome! Please check our contribution guidelines.
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+ ---
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+ Made with πŸ’– using [Replit](https://replit.com)