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arunps
/
wav2vec2-base-adsids

Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use arunps/wav2vec2-base-adsids with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="arunps/wav2vec2-base-adsids")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("arunps/wav2vec2-base-adsids")
    model = AutoModelForAudioClassification.from_pretrained("arunps/wav2vec2-base-adsids")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-adsids / runs
30.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
arunps's picture
arunps
Training in progress, epoch 9
25fcbc9 over 3 years ago
  • Feb12_13-55-35_711ae5c9bf43
    Training in progress, epoch 9 over 3 years ago