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Add ExecuTorch WebGPU program for whisper-base

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  1. README.md +6 -7
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@@ -16,14 +16,14 @@ tags:
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  This repository contains an [ExecuTorch](https://github.com/pytorch/executorch) conversion of
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  [openai/whisper-base](https://huggingface.co/openai/whisper-base) for the ExecuTorch **WebGPU** backend, so the model runs entirely in a web browser on
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  the visitor's GPU. It powers the corresponding demo in the
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- [ExecuTorch Playground](https://executorch.ai/playground/webgpu/).
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  - **Base model:** [openai/whisper-base](https://huggingface.co/openai/whisper-base)
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  - **Format:** ExecuTorch `.pte` programs delegated to the WebGPU backend
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  - **Quantization:** int8 token embeddings; other graphs as exported
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  - **Total size:** 158.3 MB
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- > **Note:** The Hugging Face model card lists Apache-2.0; the original code release is MIT. Confirm with legal which applies to redistributed weights.
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  ## Files
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@@ -46,14 +46,13 @@ Full checksums are in `manifest.json`. The playground verifies them after downlo
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  These programs need the ExecuTorch WebGPU runtime compiled to WebAssembly
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  ([backends/webgpu](https://github.com/pytorch/executorch/tree/main/backends/webgpu)). The easiest way to
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- try the model is the [ExecuTorch Playground](https://executorch.ai/playground/webgpu/), which downloads these
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- files once, caches them in the browser, and runs everything locally.
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  ## Provenance
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- - Converted from the upstream checkpoint with ExecuTorch's WebGPU export path.
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- - Upstream revision: _to be recorded at export time_.
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- - Export recipe: _to be published with the ExecuTorch release that ships the WebGPU runtime_.
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  ## License
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  This repository contains an [ExecuTorch](https://github.com/pytorch/executorch) conversion of
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  [openai/whisper-base](https://huggingface.co/openai/whisper-base) for the ExecuTorch **WebGPU** backend, so the model runs entirely in a web browser on
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  the visitor's GPU. It powers the corresponding demo in the
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+ ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)).
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  - **Base model:** [openai/whisper-base](https://huggingface.co/openai/whisper-base)
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  - **Format:** ExecuTorch `.pte` programs delegated to the WebGPU backend
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  - **Quantization:** int8 token embeddings; other graphs as exported
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  - **Total size:** 158.3 MB
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+ > **Note:** OpenAI released Whisper's code under MIT; the weights are distributed under Apache-2.0, as on the upstream Hugging Face model card.
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  ## Files
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  These programs need the ExecuTorch WebGPU runtime compiled to WebAssembly
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  ([backends/webgpu](https://github.com/pytorch/executorch/tree/main/backends/webgpu)). The easiest way to
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+ try the model is the ExecuTorch WebGPU Playground (launching soon on [executorch.ai](https://executorch.ai)),
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+ which downloads these files once, caches them in the browser, and runs everything locally.
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  ## Provenance
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+ - Converted from the upstream checkpoint by the ExecuTorch team with the WebGPU export path.
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+ - A reproducible export recipe will be published alongside the open-source ExecuTorch WebGPU runtime.
 
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  ## License
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