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license: mit
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license: mit
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library_name: transformers.js
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base_model: pyannote/segmentation-3.0
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https://huggingface.co/pyannote/segmentation-3.0 with ONNX weights to be compatible with Transformers.js.
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Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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