pyannote · First MLX build 16 Jan 2026
wespeaker-voxceleb-resnet34-LM
MLX
Text mit
A embeddings model from pyannote, with one MLX build.
- Parameters
- — Not published
- Quantisation
- Unstated wespeaker-voxceleb-resnet34-LM
- Memory needed
- — GB Estimate, unified memory
- Download
- — Weights, estimated
- Downloads
- 48 This build, last 30 days
- Task
- Embeddings Text
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Hugging Face does not list a weights size for this build, so there is no memory estimate.
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/wespeaker-voxceleb-resnet34-LMMLX builds
1 on mlx-community| wespeaker-voxceleb-resnet34-LM | Unstated | — | — | 48 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.