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
File size: 995 Bytes
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license: cc-by-4.0
library_name: mlx
tags:
- mlx
- speaker-diarization
- witness
---
# 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 → TSTP
pooling → linear head → L2-norm).
- **Authors / source**: WeSpeaker — `Wespeaker/wespeaker-voxceleb-resnet293-LM`.
- **License**: CC-BY-4.0 (inherited from the WeSpeaker VoxCeleb checkpoint).
## What's in this repo
- `model.safetensors` — 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](https://github.com/littlebearlabs/witness), an
open-source Rust toolkit for on-device system capture on macOS. Generated by
`.research/diarization/publish_weights.sh`.*
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