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Showing content from https://github.com/lutzroeder/netron below:

lutzroeder/netron: Visualizer for neural network, deep learning and machine learning models

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.

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: pip install netron, then run netron [FILE] or netron.start('[FILE]').

Sample model files to download or open using the browser version:

• ONNX: squeezenet [open]
• TorchScript: traced_online_pred_layer [open]
• TensorFlow Lite: yamnet [open]
• TensorFlow: chessbot [open]
• Keras: mobilenet [open]
• Core ML: exermote [open]
• Darknet: yolo [open]

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