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kaaaaan
/
live-vs-studio-classifier

Audio Classification
Transformers
ONNX
English
audio
music
audio-spectrogram-transformer
linear-probe
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use kaaaaan/live-vs-studio-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kaaaaan/live-vs-studio-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="kaaaaan/live-vs-studio-classifier")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("kaaaaan/live-vs-studio-classifier", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
live-vs-studio-classifier
89.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kaaaaan's picture
kaaaaan
Update README.md
207da46 verified about 1 month ago
  • .gitattributes
    43 Bytes
    Initial release: AST + linear probe, 94.46% test accuracy about 1 month ago
  • .gitignore
    13 Bytes
    Initial release: AST + linear probe, 94.46% test accuracy about 1 month ago
  • LICENSE
    1.07 kB
    Initial release: AST + linear probe, 94.46% test accuracy about 1 month ago
  • README.md
    8.62 kB
    Update README.md about 1 month ago
  • ast_backbone_int8.onnx
    89.5 MB
    xet
    Initial release: AST + linear probe, 94.46% test accuracy about 1 month ago
  • config.json
    787 Bytes
    Initial release: AST + linear probe, 94.46% test accuracy about 1 month ago
  • predict.py
    10.3 kB
    Fix DEFAULT_PROBE for HF snapshot cache (don't .resolve() symlinks) about 1 month ago
  • probe-weights.json
    43.2 kB
    Initial release: AST + linear probe, 94.46% test accuracy about 1 month ago
  • requirements.txt
    56 Bytes
    Initial release: AST + linear probe, 94.46% test accuracy about 1 month ago