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
16.4K
Total downloads
723.5K
Gained 7D
+6,540(increase)
0.9%(up) vs baseline
Gained 30D
—
Likes
4
+0 in 7D
Rank · tracked models
#6,379
23(down 23 places)this week
Parameters
6.6M
Last source update
Apr 12, 2026
Momentum
60.0
  • WeSpeaker-ResNet34-LM-MLX gained 6,540 downloads during the last seven tracked days.
  • It moved from #35 to #36 among tracked Audio Classification models this week.

Downloads over time

Cumulative total downloads observed by OpenModelStats

Likes over time

Rank among tracked models

Lower is better

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 Oct 6, 2026.

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
934
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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aufklarer/WeSpeaker-ResNet34-LM-MLX — Downloads, Growth & Stats | OpenModelStats