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Add model card (README)

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+ ---
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+ license: mit
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+ tags:
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+ - audio
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+ - speaker-diarization
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+ - onnx
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+ - pyannote
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+ ---
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+
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+ # segmentation-3.0 ONNX
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+ ONNX export of [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) for speaker diarization (voice activity and speaker segmentation).
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+ - **Input**: waveform `[batch, channels, samples]`, 16 kHz mono, e.g. `[1, 1, 160000]` for 10 seconds.
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+ - **Output**: logits `[batch, num_frames, num_classes]` (7 classes, powerset decoding).
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+ - Exported with opset 14. Use ONNX Runtime to run on device (Core ML conversion is not supported for this model due to control-flow ops).
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+
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+ Derived from pyannote.audio; see [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) for the original model and license.