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arham061
/
distilhubert-finetuned-PASCAL_Dataset_Highpass_Normalized

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

Instructions to use arham061/distilhubert-finetuned-PASCAL_Dataset_Highpass_Normalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arham061/distilhubert-finetuned-PASCAL_Dataset_Highpass_Normalized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="arham061/distilhubert-finetuned-PASCAL_Dataset_Highpass_Normalized")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("arham061/distilhubert-finetuned-PASCAL_Dataset_Highpass_Normalized")
    model = AutoModelForAudioClassification.from_pretrained("arham061/distilhubert-finetuned-PASCAL_Dataset_Highpass_Normalized")
  • Notebooks
  • Google Colab
  • Kaggle
distilhubert-finetuned-PASCAL_Dataset_Highpass_Normalized / runs
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  • 1 contributor
History: 12 commits
arham061's picture
arham061
Training in progress, epoch 17
89cb4bd verified about 2 years ago
  • Mar09_15-42-24_0d3612ef62df
    Training in progress, epoch 17 about 2 years ago