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  # ⚠️ Deprecated — see [`perchv2-pytorch`](https://github.com/bghani/perchv2-pytorch) instead
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- **These weights are no longer the recommended way to use this project.** The main repo now provides a PyTorch backbone built by converting Google's actual released ONNX graph directly (via `onnx2torch`) — confirmed **1.00000000 cosine similarity** against `onnxruntime`'s own output, and fully differentiable. That approach needs the original `perch_v2.onnx` file ( get the weights from [`justinchuby/Perch-onnx`](https://huggingface.co/justinchuby/Perch-onnx/tree/main) or see the [main repo README](https://github.com/bghani/perchv2-pytorch#getting-the-weights) for details).
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  The weights on this page are kept only as `legacy/` in that repo, for reference — **not recommended for new use.** See why below.
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  # ⚠️ Deprecated — see [`perchv2-pytorch`](https://github.com/bghani/perchv2-pytorch) instead
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+ **These weights are no longer the recommended way to use this project.** The main repo now provides a PyTorch backbone built by converting Google's actual released ONNX graph directly (via `onnx2torch`) — confirmed **1.00000000 cosine similarity** against `onnxruntime`'s own output, and fully differentiable. That approach needs the original `perch_v2.onnx` file (get it from [`justinchuby/Perch-onnx`](https://huggingface.co/justinchuby/Perch-onnx/tree/main) or see the [main repo README](https://github.com/bghani/perchv2-pytorch#getting-the-weights) for details).
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  The weights on this page are kept only as `legacy/` in that repo, for reference — **not recommended for new use.** See why below.
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