README.md

---
license: other
license_name: apache-license-2.0
license_link: https://github.com/google/automl/blob/master/LICENSE
---

# Introduction

This repository hosts the
[efficientnet_v2_s](https://pytorch.org/vision/0.20/models/generated/torchvision.models.efficientnet_v2_s.html#torchvision.models.efficientnet_v2_s)
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.

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 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.

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 two main directories:

- `xnnpack`
- `coreml`

Each directory contains models exported for the respective backend.

- The `.pte` file should be passed to the `modelSource` parameter.