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dangkhoadl
/
AudioResNet

Transformers
PyTorch
resnet
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use dangkhoadl/AudioResNet with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, ResNetForAudioClassification
    
    processor = AutoImageProcessor.from_pretrained("dangkhoadl/AudioResNet")
    model = ResNetForAudioClassification.from_pretrained("dangkhoadl/AudioResNet")
  • Notebooks
  • Google Colab
  • Kaggle
AudioResNet
233 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
dangkhoadl's picture
dangkhoadl
Upload ResNetForAudioClassification
6330109 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    61 Bytes
    Create README.md almost 3 years ago
  • config.json
    377 Bytes
    Upload ResNetForAudioClassification almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    233 MB
    xet
    Upload ResNetForAudioClassification almost 3 years ago