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wespeaker-voxceleb-resnet34-LM

mlx-community/wespeaker-voxceleb-resnet34-LM
Embeddings · mlx
Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Details

Base model
pyannote/wespeaker-voxceleb-resnet34-LM (finetune)
Vendor
pyannote
Task
Embeddings
Quantisation
Not stated
Licence
mit
Downloads
47 in the last 30 days · 899 all time · 3 likes
Published
2026-01-16 · updated 2026-01-16 (9mo ago)
Tags
resnet34_embedding, speaker-recognition, speaker-embedding, speaker-diarization, audio, resnet, apple-silicon