| | --- |
| | license: mit |
| | --- |
| | |
| | # Introduction |
| |
|
| | This repository hosts the image encoder of |
| | [clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) |
| | model for the [React Native |
| | ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It |
| | includes the model exported for xnnpack in `.pte` format, ready for use in the |
| | **ExecuTorch** runtime. |
| |
|
| | 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. |
| |
|
| | ## Compatibility |
| |
|
| | If you intend to use this model 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. |
| |
|
| | These models were exported using **ExecuTorch** version 1.1.0 and **no forward |
| | compatibility** is guaranteed. Older versions of the runtime may not work with |
| | these files. |
| |
|
| | ### Repository Structure |
| |
|
| | The repository is organized into directories: |
| |
|
| | - `xnnpack` |
| |
|
| | Each directory contains models exported for the respective backend. |
| |
|
| | - The `.pte` file should be passed to the `modelSource` parameter. |
| |
|
