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littlebearlabs
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witness-pyannote-seg-mlx

MLX
Safetensors
speaker-diarization
witness
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xet
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Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir witness-pyannote-seg-mlx littlebearlabs/witness-pyannote-seg-mlx

witness-pyannote-seg-mlx

pyannote/segmentation-3.0 powerset speaker segmentation, converted to a gate-free MLX safetensors for witness's on-device speaker diarization.

Upstream attribution

  • Model: pyannote segmentation-3.0 (PyanNet powerset segmentation).
  • Authors / source: pyannote — pyannote/segmentation-3.0.
  • License: MIT (the segmentation-3.0 model weights are MIT-licensed).

What's in this repo

  • model.safetensors — gate-free converted weights produced by .research/diarization/gen_seg_fixture.py. Validated to 100% per-frame powerset-argmax agreement with the upstream export (logits max_abs ≈ 2.5e-5).

Converted to MLX for witness, an open-source Rust toolkit for on-device system capture on macOS. Generated by .research/diarization/publish_weights.sh.

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1.49M params
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F32
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