WeSpeaker-ResNet34-LM-MLX

aufklarer/WeSpeaker-ResNet34-LM-MLX

Audio Classification6.6M parametersmlxLicense: mit
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
Downloads 30D
66.4K
Total downloads
692.4K
Gained 7D
Gained 30D
Likes
4
Rank · tracked models
#3,286
this week
Parameters
6.6M
Last source update
Apr 12, 2026

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OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.

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OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.

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OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.

Overview

WeSpeaker-ResNet34-LM-MLX is a audio classification model published by aufklarer. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 5h ago.

Published
Feb 25, 2026
Last updated
Apr 12, 2026
Library
mlx
License
mit
Task
Audio Classification
Parameters
6,630,080
Spaces
Derivative models
Velocity 7D/day
mlxsafetensorswespeaker-resnet34-lmspeaker-embeddingspeaker-verificationspeaker-diarizationwespeakerresnetapple-siliconaudio-classificationbase_model:pyannote/wespeaker-voxceleb-resnet34-LMbase_model:finetune:pyannote/wespeaker-voxceleb-resnet34-LM

Publisher

aufklarerView publisher statistics →

Derived from pyannote/wespeaker-voxceleb-resnet34-LM (reported by the source; parent not yet tracked).

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