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RickyIG
/
audio_classification

Audio Classification
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use RickyIG/audio_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="RickyIG/audio_classification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("RickyIG/audio_classification")
    model = AutoModelForAudioClassification.from_pretrained("RickyIG/audio_classification")
  • Notebooks
  • Google Colab
  • Kaggle
audio_classification
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
RickyIG's picture
RickyIG
End of training
dcf988b over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.2 kB
    End of training over 2 years ago
  • config.json
    3.1 kB
    Training in progress, epoch 0 over 2 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, epoch 0 over 2 years ago
  • pytorch_model.bin
    378 MB
    xet
    End of training over 2 years ago
  • training_args.bin
    4.09 kB
    xet
    Training in progress, epoch 0 over 2 years ago