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dksldldldl
/
audio_cls

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

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

  • Libraries
  • Transformers

    How to use dksldldldl/audio_cls with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="dksldldldl/audio_cls")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("dksldldldl/audio_cls")
    model = AutoModelForAudioClassification.from_pretrained("dksldldldl/audio_cls", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
audio_cls / runs
34.1 kB
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  • 1 contributor
History: 1 commit
dksldldldl's picture
dksldldldl
End of training
77720c8 verified 11 months ago
  • Sep19_01-51-53_5621d9b19410
    End of training 11 months ago
  • Sep19_02-08-19_5621d9b19410
    End of training 11 months ago