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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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