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BOENE
/
distilhubert

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use BOENE/distilhubert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="BOENE/distilhubert")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("BOENE/distilhubert")
    model = AutoModelForAudioClassification.from_pretrained("BOENE/distilhubert")
  • Notebooks
  • Google Colab
  • Kaggle
distilhubert / runs
22 kB
Ctrl+K
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  • 1 contributor
History: 20 commits
BOENE's picture
BOENE
Training in progress, epoch 10
23f7533 over 2 years ago
  • Dec01_12-07-29_06f0aca246a2
    Training in progress, epoch 10 over 2 years ago
  • Dec04_12-43-25_f0267cf33486
    Training in progress, epoch 1 over 2 years ago
  • Dec04_12-50-37_f0267cf33486
    Training in progress, epoch 10 over 2 years ago