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@@ -4,15 +4,30 @@ license: other
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  # Introduction
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- This repository hosts the style transfer candy models for the [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It includes model exported for xnnpack, as well as coreml in `.pte` format, ready for use in the **ExecuTorch** runtime.
 
 
 
 
 
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- If you'd like to run these models in your own ExecuTorch runtime, refer to the [official documentation](https://pytorch.org/executorch/stable/index.html) for setup instructions.
 
 
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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](https://github.com/pytorch/executorch/blob/11d1742fdeddcf05bc30a6cfac321d2a2e3b6768/runtime/COMPATIBILITY.md?plain=1#L4). 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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- These models were exported using commit `fe20be98c` and **no forward compatibility** is guaranteed. Older versions of the runtime may not work with these files.
 
 
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  ### Repository Structure
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  Each directory contains differentely exported version of the model.
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  - The `.pte` file should be passed to the `modelSource` parameter.
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-
 
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  # Introduction
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+ This repository hosts the [style
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+ transfer](https://github.com/pytorch/examples/tree/main/fast_neural_style) candy
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+ models for the [React Native
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+ ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It
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+ includes model exported for xnnpack, as well as coreml in `.pte` format, ready
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+ for use in the **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 this models outside of React Native ExecuTorch, make sure
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+ your runtime is compatible with the **ExecuTorch** version used to export the
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+ `.pte` files. For more details, see the compatibility note in the [ExecuTorch
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+ GitHub
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+ repository](https://github.com/pytorch/executorch/blob/11d1742fdeddcf05bc30a6cfac321d2a2e3b6768/runtime/COMPATIBILITY.md?plain=1#L4).
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+ If you work with React Native ExecuTorch, the constants from the library will
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+ 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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  ### Repository Structure
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  Each directory contains differentely exported version of the model.
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  - The `.pte` file should be passed to the `modelSource` parameter.