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# Introduction
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This repository hosts the semantic image segmentation models for the React Native ExecuTorch library. It includes a model exported for xnnpack in .pte format, ready for use in the ExecuTorch runtime.
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# Compatibility
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If you intend to use this models outside of React Native ExecuTorch, make sure your runtime is compatible with the ExecuTorch version used to export the .pte files. For more details, see the compatibility note in the ExecuTorch GitHub repository. If you work with React Native ExecuTorch, the constants from the library will guarantee compatibility with runtime used behind the scenes.
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---
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# Introduction
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This repository hosts the semantic segmentation
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[DeepLabV3](https://docs.pytorch.org/vision/main/models/deeplabv3.html) models
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for the [React Native
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ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It
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includes models exported for xnnpack in `.pte` format, ready for use in the
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**ExecuTorch** runtime.
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If you'd like to run these models in your own ExecuTorch runtime, refer to the
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[official documentation](https://pytorch.org/executorch/stable/index.html) for
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setup instructions.
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# Compatibility
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If you intend to use these models outside of React Native ExecuTorch, make sure
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your runtime is compatible with the ExecuTorch version used to export the `.pte`
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files. For more details, see the compatibility note in the ExecuTorch GitHub
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repository. If you work with React Native ExecuTorch, the constants from the
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library will guarantee compatibility with runtime used behind the scenes.
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These models were exported using **ExecuTorch** version 1.1.0 and no forward
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compatibility is guaranteed. Older versions of the runtime may not work with
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these files.
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