| license: apache-2.0 | |
| pipeline_tag: keypoint-detection | |
| library_name: executorch | |
| # blazeface | |
| This repository hosts the **blazeface** models exported for the | |
| [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) | |
| library as ExecuTorch `.pte` programs, ready to run on device. | |
| Upstream model: [BlazeFace](https://github.com/hollance/BlazeFace-PyTorch) | |
| ## Variants | |
| | Path | Backend | Precision | | |
| | --- | --- | --- | | |
| | `xnnpack/blazeface_xnnpack_fp32.pte` | xnnpack | fp32 | | |
| ## Repository structure | |
| ``` | |
| config.json 31 B | |
| xnnpack/blazeface_xnnpack_fp32.pte 635 kB | |
| xnnpack/config.json 1.2 kB | |
| ``` | |
| ## Compatibility | |
| These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch | |
| gives no forward compatibility guarantee, so an older runtime may fail to load | |
| them. | |
| To use them in React Native ExecuTorch, pass the model constant shipped in the | |
| library's model registry to the corresponding task pipeline. See the | |
| [documentation](https://docs.swmansion.com/react-native-executorch/docs/fundamentals/downloading-models). | |
| To load these files in your own ExecuTorch runtime, read the | |
| [compatibility note](https://github.com/pytorch/executorch/blob/main/runtime/COMPATIBILITY.md) | |
| first. | |