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confit
/
wav2vec2-base-spkreg

Feature Extraction
Transformers
Safetensors
wav2vec2_spkreg
custom_code
Model card Files Files and versions
xet
Community

Instructions to use confit/wav2vec2-base-spkreg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use confit/wav2vec2-base-spkreg with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="confit/wav2vec2-base-spkreg", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("confit/wav2vec2-base-spkreg", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-spkreg
378 MB
Ctrl+K
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  • 1 contributor
History: 31 commits
yangwang825's picture
yangwang825
Update modeling_wav2vec2_spkreg.py
9d938b7 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload config over 1 year ago
  • config.json
    2.88 kB
    Update config.json over 1 year ago
  • configuration_wav2vec2_spkreg.py
    20 kB
    Upload config over 1 year ago
  • feature_extraction_wav2vec2_spkreg.py
    11 kB
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  • model.safetensors
    378 MB
    xet
    Upload model over 1 year ago
  • modeling_wav2vec2_spkreg.py
    32.9 kB
    Update modeling_wav2vec2_spkreg.py over 1 year ago
  • preprocessor_config.json
    338 Bytes
    Upload feature extractor over 1 year ago