Lutz Roeder
e099daaf9b
Add MLIR support (#1044)
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2 月之前 | |
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| .github | 4 月之前 | |
| .vscode | 4 月之前 | |
| publish | 4 月之前 | |
| source | 2 月之前 | |
| test | 2 月之前 | |
| tools | 2 月之前 | |
| .gitignore | 4 月之前 | |
| .npmrc | 3 年之前 | |
| CITATION.cff | 4 月之前 | |
| CONTRIBUTING.md | 4 月之前 | |
| LICENSE | 9 年之前 | |
| README.md | 6 月之前 | |
| eslint.config.js | 2 月之前 | |
| package-lock.json | 2 月之前 | |
| package.js | 2 月之前 | |
| package.json | 2 月之前 | |
| package.py | 7 月之前 | |
| pyproject.toml | 10 月之前 |
README.md
Netron is a viewer for neural network, deep learning and machine learning models.
Netron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, Safetensors and NumPy.
Netron has experimental support for TorchScript, torch.export, ExecuTorch, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.
Install
Browser: Start the browser version.
macOS: Download the .dmg file or run brew install --cask netron.
Linux: Download the .deb or .rpm file.
Windows: Download the .exe installer or run winget install -s winget netron.
Python: pip install netron, then run netron [FILE] or netron.start('[FILE]').
Models
Sample model files to download or open using the browser version: