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Drigoro
/
audio_wav2vec

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

Instructions to use Drigoro/audio_wav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Drigoro/audio_wav2vec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Drigoro/audio_wav2vec")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Drigoro/audio_wav2vec")
    model = AutoModelForAudioClassification.from_pretrained("Drigoro/audio_wav2vec")
  • Notebooks
  • Google Colab
  • Kaggle
audio_wav2vec / runs
75.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 63 commits
Drigoro's picture
Drigoro
Training in progress, epoch 20
1712ddc verified almost 2 years ago
  • Jun19_10-24-58_d6e4c286ff59
    Training in progress, epoch 20 almost 2 years ago
  • May19_20-21-47_cbeab3b8263c
    Training in progress, epoch 0 about 2 years ago
  • May19_20-35-41_cbeab3b8263c
    Training in progress, epoch 13 about 2 years ago
  • May20_10-49-21_7fb0dfdbe3b8
    Training in progress, epoch 19 about 2 years ago