| --- |
| license: agpl-3.0 |
| --- |
| |
| # Introduction |
|
|
| This repository hosts the instance segmentation |
| [FastSAM](https://docs.ultralytics.com/models/fast-sam/) models |
| for the [React Native |
| ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It |
| includes models 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 these 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. |
|
|
| These models were exported using **ExecuTorch** version 1.2.0 and no forward |
| compatibility is guaranteed. Older versions of the runtime may not work with |
| these files. |
|
|
|
|
| # Licencing |
|
|
| Please note that Ultralytics shares YOLO under the AGPL-3.0 license. Due to the copyleft nature of this license, the models provided in this repository are also distributed under the terms of the AGPL-3.0. |
