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--- |
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title: Pytorch Issues Deployment |
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emoji: 🚀 |
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colorFrom: pink |
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colorTo: green |
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sdk: gradio |
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sdk_version: 5.29.1 |
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app_file: app.py |
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pinned: false |
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--- |
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# Space Card for `mayankpuvvala/pytorch_issues_deployment` |
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This Hugging Face Space provides an interactive Gradio interface for generating GitHub issue bodies from issue titles using the fine-tuned T5-small model. |
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## Space Details |
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- **Developed by:** Mayank Puvvala |
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- **License:** MIT |
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- **Model Used:** [peft_lora_t5_merged_model_pytorch_issues](https://huggingface.co/mayankpuvvala/peft_lora_t5_merged_model_pytorch_issues) |
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- **Code:** [GitHub](https://github.com/mayankpuvvala/LLM_FineTune_GenAI) |
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## How to Use |
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1. Enter a GitHub issue title related to PyTorch. |
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2. Click "Submit" to generate a detailed issue body. |
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### Example |
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- **Input:** `Memory leak when using DataLoader with num_workers > 0` |
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- **Output:** A detailed description outlining the issue, steps to reproduce, expected behavior, and actual behavior. |
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## Technical Details |
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- **Frontend:** Gradio |
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- **Backend:** PyTorch with Transformers |
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- **Deployment:** Hugging Face Spaces |
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## Citation |
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If you use this Space, please cite: |
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```bibtex |
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@misc{mayankpuvvala2025pytorchissuesdeployment, |
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title={PyTorch Issues Deployment Space}, |
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author={Mayank Puvvala}, |
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year={2025}, |
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howpublished={\url{https://huggingface.co/spaces/mayankpuvvala/pytorch_issues_deployment}}, |
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} |
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``` |
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# Contact |
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- For questions or feedback, please contact Mayank Puvvala. |
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- Feel free to integrate these model cards into your Hugging Face repositories. Let me know if you need further assistance or modifications! |
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::contentReference[oaicite:0]{index=0} |
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