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            short_description: A streamlined platform for fine-tuning
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            short_description: A streamlined platform for fine-tuning
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            ---
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            # CodeGen Hub π
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            [](https://replit.com/@replit/CodeGen-Hub)  
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            A streamlined platform for training and using code generation models with Hugging Face integration π€
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            ## β¨ Features
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            - π Upload and preprocess Python code datasets
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            - π οΈ Configure and train models with customizable parameters 
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            - π‘ Generate code predictions using trained models
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            - π Monitor training progress with visualizations
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            - π Seamless integration with Hugging Face Hub
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            ## π 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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            ## π 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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            ## π» 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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            ## π License
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            MIT License - feel free to use and modify!
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            ## π€ Contributing
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            Contributions welcome! Please check our contribution guidelines.
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            ---
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            Made with π using [Replit](https://replit.com)
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