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guyPerry
/
audio-mood-classifier

Audio Classification
Transformers
Safetensors
English
audio-spectrogram-transformer
audio
ast
music
mood
Model card Files Files and versions
xet
Community

Instructions to use guyPerry/audio-mood-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use guyPerry/audio-mood-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="guyPerry/audio-mood-classifier")
    # Load model directly
    from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
    
    extractor = AutoFeatureExtractor.from_pretrained("guyPerry/audio-mood-classifier")
    model = AutoModelForAudioClassification.from_pretrained("guyPerry/audio-mood-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
audio-mood-classifier
345 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
guyPerry's picture
guyPerry
Fix id2label with real class names
5331fdb verified 25 days ago
  • .gitattributes
    1.52 kB
    initial commit 26 days ago
  • README.md
    760 Bytes
    Add model card with pipeline_tag to enable serverless inference 26 days ago
  • config.json
    868 Bytes
    Fix id2label with real class names 25 days ago
  • model.safetensors
    345 MB
    xet
    Upload fine-tuned audio mood classifier (AST) 26 days ago
  • preprocessor_config.json
    310 Bytes
    Add preprocessor_config.json (ASTFeatureExtractor) 25 days ago
  • scheduler.pt
    1.06 kB
    xet
    Upload fine-tuned audio mood classifier (AST) 26 days ago
  • trainer_state.json
    6.06 kB
    Upload fine-tuned audio mood classifier (AST) 26 days ago
  • training_args.bin
    4.86 kB
    xet
    Upload fine-tuned audio mood classifier (AST) 26 days ago