Netron supports ONNX, TensorFlow Lite, Caffe, Keras, Darknet, PaddlePaddle, ncnn, MNN, Core ML, RKNN, MXNet, MindSpore Lite, TNN, Barracuda, Tengine, CNTK, TensorFlow.js, Caffe2 and UFF.
Netron has experimental support for PyTorch, TensorFlow, TorchScript, OpenVINO, Torch, Vitis AI, kmodel, Arm NN, BigDL, Chainer, Deeplearning4j, MediaPipe, MegEngine, ML.NET and scikit-learn.
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 Server: Run pip install netron
and netron [FILE]
or netron.start('[FILE]')
.
Sample model files to download or open using the browser version:
Author: lutzroeder
Source Code: https://github.com/lutzroeder/netron
License: MIT license