Instructions to use littlebearlabs/witness-pyannote-seg-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use littlebearlabs/witness-pyannote-seg-mlx with MLX:
# 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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
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 โ
pyannote/segmentation-3.0. - License: MIT (the segmentation-3.0 model weights are MIT-licensed).
What's in this repo
model.safetensorsโ 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 โ 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.
Model size
1.49M params
Tensor type
F32
ยท
Hardware compatibility
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