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Zarakun
/
wav2vec

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Zarakun/wav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Zarakun/wav2vec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Zarakun/wav2vec")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Zarakun/wav2vec")
    model = AutoModelForAudioClassification.from_pretrained("Zarakun/wav2vec")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Zarakun's picture
Zarakun
zarakun/wav2vec
e5a89aa verified over 1 year ago
  • Nov24_12-27-33_5f22219c57ef
    zarakun/wav2vec over 1 year ago
  • Nov24_14-28-16_0e7bc815b640
    zarakun/wav2vec over 1 year ago
  • Nov24_15-49-00_80c1249b4a29
    zarakun/wav2vec over 1 year ago
  • Nov24_17-13-25_59691a5c0a0a
    zarakun/wav2vec over 1 year ago