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src=\"https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only\"\u003e\n\u003cimg width=\"400px\" height=\"100px\" src=\"https://github.com/lutzroeder/netron/raw/main/.github/logo-dark.svg#gh-dark-mode-only\"\u003e\n\u003c/div\u003e\n\nNetron is a viewer for neural network, deep learning and machine learning models.\n\nNetron supports ONNX, TensorFlow Lite, PyTorch, torch.export, ExecuTorch, Core ML, Keras, Caffe, Darknet, TensorFlow.js, Safetensors and NumPy.\n\nNetron has experimental support for TorchScript, MLIR, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.\n\n\u003cp align='center'\u003e\u003ca href='https://www.lutzroeder.com/ai'\u003e\u003cimg src='.github/screenshot.png' width='800'\u003e\u003c/a\u003e\u003c/p\u003e\n\n## Install\n\n**Browser**: [**Start**](https://netron.app) the browser version.\n\n**macOS**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install --cask netron`.\n\n**Linux**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.deb` or `.rpm` file.\n\n**Windows**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.exe` installer or run `winget install -s winget netron`.\n\n**Python**: `pip install netron`, then run `netron [FILE]` or `netron.start('[FILE]')`.\n\n## Models\n\nSample model files to download or open using the browser version:\n\n * **ONNX**: [squeezenet](https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx) [[open](https://netron.app?url=https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx)]\n * **TorchScript**: [traced_online_pred_layer](https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt) [[open](https://netron.app?url=https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt)]\n * **TensorFlow Lite**: [yamnet](https://huggingface.co/thelou1s/yamnet/resolve/main/lite-model_yamnet_tflite_1.tflite) [[open](https://netron.app?url=https://huggingface.co/thelou1s/yamnet/blob/main/lite-model_yamnet_tflite_1.tflite)]\n * **TensorFlow**: [chessbot](https://github.com/srom/chessbot/raw/master/model/chessbot.pb) [[open](https://netron.app?url=https://github.com/srom/chessbot/raw/master/model/chessbot.pb)]\n * **Keras**: [mobilenet](https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5) [[open](https://netron.app?url=https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5)]\n\n* **MLIR**: [edge_detection](https://github.com/iree-org/iree/raw/main/tests/e2e/stablehlo_models/edge_detection.mlir) [[open](https://netron.app?url=https://github.com/iree-org/iree/blob/main/tests/e2e/stablehlo_models/edge_detection.mlir)]\n\n * **Core ML**: [exermote](https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel) [[open](https://netron.app?url=https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel)]\n * **Darknet**: [yolo](https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg) [[open](https://netron.app?url=https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg)]\n","funding_links":[],"categories":["Researchers","JavaScript","HarmonyOS","Exchange API","The Data Science Toolbox","AI Framework","Applications","Repository","Explaining Black Box Models and Datasets","Others","Visualization","Data Visualization","Tools","Industry Strength Visualisation","其他_NLP自然语言处理","Visualization \u0026 Interpretability","Table of Contents","Apps","Helpful 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