Track .pte with lfs

.gitattributes

@@ -33,4 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+./xnnpack/whisper_tiny_quantized_en_decoder_xnnpack.pte filter=lfs diff=lfs merge=lfs -text
+./xnnpack/whisper_tiny_quantized_en_encoder_xnnpack.pte filter=lfs diff=lfs merge=lfs -text
 *.pte filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,17 @@
+
+---
+license: apache-2.0
+---
+
+# Introduction
+
+This repository hosts the [whisper-tiny](https://huggingface.co/openai/whisper-tiny) model quantized using torchao for the [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It includes the model exported for xnnpack backend 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 v1.0.0 version of ExecuTorch and **no forward compatibility** is guaranteed. Older versions of the runtime may not work with these files.
+