Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lightborn3
/
ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan

Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")
    # Load model directly
    from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
    
    extractor = AutoFeatureExtractor.from_pretrained("lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")
    model = AutoModelForAudioClassification.from_pretrained("lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")
  • Notebooks
  • Google Colab
  • Kaggle
ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan / runs
78.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
lightborn3's picture
lightborn3
End of training
d557c92 almost 3 years ago
  • Aug21_06-39-15_b4360b6574bd
    End of training almost 3 years ago