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Hatman
/
audio-emotion-detection

Audio Classification
Transformers
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use Hatman/audio-emotion-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hatman/audio-emotion-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Hatman/audio-emotion-detection")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Hatman/audio-emotion-detection")
    model = AutoModelForAudioClassification.from_pretrained("Hatman/audio-emotion-detection")
  • Notebooks
  • Google Colab
  • Kaggle
audio-emotion-detection
1.26 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
hatmanstack
Initial
95f7c25 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.56 kB
    Initial almost 2 years ago
  • config.json
    2.65 kB
    Initial almost 2 years ago
  • model.safetensors
    1.26 GB
    xet
    Initial almost 2 years ago
  • preprocessor_config.json
    262 Bytes
    Initial almost 2 years ago