pyannote/wespeaker-voxceleb-resnet34-LM

AI model by pyannote

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Using this open-source model in production? Consider switching to pyannoteAI for better and faster options. This model requires pyannote.audio version 3.1 or higher. This is…

pyannote/wespeaker-voxceleb-resnet34-LM on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T19:25:11.558Z

Inside the original model card — Document outline
  1. 🎹 Wrapper around wespeaker-voxceleb-resnet34-LM
  2. Basic usage
  3. Advanced usage
  4. Running on GPU
  5. Extract embedding from an excerpt
  6. Extract embeddings using a sliding window
  7. License
  8. Citation

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Documentation belongs to its respective authors. Reported project/model license: cc-by-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

pyannote/wespeaker-voxceleb-resnet34-LM is a task-unspecified model repository published by pyannote on Hugging Face. The source reports the pyannote-audio library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
Not reported
Library
pyannote-audio
Recent downloads (30 days)
6,058,091
Cumulative likes
217
Hugging Face trending score
3
Reported safetensors parameters
Not reported
Architecture
Not reported
License
cc-by-4.0
Access
Not gated by Hugging Face
Created
2023-11-13T15:32:31.000Z
Last modified
2024-05-10T19:36:24.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:31.990Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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