Instructions to use littlebearlabs/witness-resnet293-lm-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use littlebearlabs/witness-resnet293-lm-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir witness-resnet293-lm-mlx littlebearlabs/witness-resnet293-lm-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
witness-resnet293-lm-mlx
WeSpeaker VoxCeleb ResNet293-LM speaker embedder (256-d), converted to MLX safetensors for witness's on-device speaker diarization.
Upstream attribution
- Model: WeSpeaker VoxCeleb ResNet293-LM (deep Bottleneck ResNet โ TSTP pooling โ linear head โ L2-norm).
- Authors / source: WeSpeaker โ
Wespeaker/wespeaker-voxceleb-resnet293-LM. - License: CC-BY-4.0 (inherited from the WeSpeaker VoxCeleb checkpoint).
What's in this repo
model.safetensorsโ converted from the upstream WeSpeaker checkpoint by.research/diarization/gen_resnet293_embed_fixture.py. 256-d, L2-normalized by the witness crate after the linear head.
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
28.8M params
Tensor type
F32
ยท
Hardware compatibility
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