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---
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title: PyTorch Python 3.10 Wheel Collection
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library_name: pytorch
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license: mit
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tags:
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- pytorch
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- wheels
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- python3.10
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- cuda
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- transformers
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- machine-learning
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- deep-learning
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- dependency-management
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language:
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- en
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pipeline_tag: other
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---
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# PyTorch Python 3.10 Wheel Collection
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Complete PyTorch ML stack with all dependencies - no conflicts, easy installation.
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## 📋 What's Included
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- **Python:** 3.10 compatible
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- **PyTorch:** 2.7.1 + CUDA 12.6
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- **Transformers:** 4.52.3
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- **NumPy:** 1.26.4 (compatible version)
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- **SciPy:** 1.15.2
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- **All Dependencies:** 80+ wheels, fully tested together
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## 🚀 Installation (Super Easy!)
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**One command installation from HuggingFace:**
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```bash
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# Download and install everything
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from huggingface_hub import snapshot_download
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import subprocess
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import os
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# Download all wheels
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repo_path = snapshot_download(repo_id="RDHub/pytorch_python_310")
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wheel_path = os.path.join(repo_path, "lib_wheel")
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# Install all wheels
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subprocess.run(["pip", "install"] + [f"{wheel_path}/*.whl"], shell=True)
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```
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**Or manually:**
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```bash
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# 1. Download repository
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git clone https://huggingface.co/RDHub/pytorch_python_310
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# 2. Install everything
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cd pytorch_python_310
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pip install lib_wheel/*.whl
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# 3. Test (optional)
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python -c "import torch; print(f'PyTorch {torch.__version__} - CUDA: {torch.cuda.is_available()}')"
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```
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## ✅ Key Versions
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| Package | Version | Python |
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|---------|---------|---------|
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| PyTorch | 2.7.1 | 3.10 |
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| Transformers | 4.52.3 | 3.10 |
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| NumPy | 1.26.4 | 3.10 |
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| CUDA | 12.6 | - |
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## 🎯 Use Cases
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Perfect for:
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- Machine Learning projects
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- Large Language Model training
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- Computer Vision
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- Audio processing
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- Research environments
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## 📝 Notes
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- **No dependency conflicts** - all versions tested together
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- **Offline ready** - no internet needed after download
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- **CUDA included** - ready for GPU training
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- **Linux x86_64** compatible
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---
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**Repository Size:** ~2GB
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**Total Packages:** 80+ wheels
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**Tested:** Ubuntu 22.04, Python 3.10 |
