| --- |
| 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. |
|
|
