Netron is a viewer for neural network, deep learning and machine learning models.
Netron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, MXNet, PaddlePaddle, ncnn, MNN, TensorFlow.js, Safetensors and NumPy.
Netron has experimental support for PyTorch, TorchScript, TensorFlow, OpenVINO, RKNN, ML.NET, GGUF and scikit-learn.
Install
macOS: Download the .dmg file or run brew install --cask netron
Linux: Download the .AppImage file or run snap install netron
Windows: Download the .exe installer or run winget install -s winget netron
Browser: Start the browser version.
Python: Run pip install netron and netron [FILE] or netron.start('[FILE]').
Models
Sample model files to download or open using the browser version:
- ONNX: squeezenet [open]
- TensorFlow Lite: yamnet [open]
- TensorFlow: chessbot [open]
- Keras: mobilenet [open]
- TorchScript: traced_online_pred_layer [open]
- Core ML: exermote [open]
- Darknet: yolo [open]
