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csawai
/
mega-emotion-analyzer

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

Instructions to use csawai/mega-emotion-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use csawai/mega-emotion-analyzer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="csawai/mega-emotion-analyzer")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("csawai/mega-emotion-analyzer")
    model = AutoModelForAudioClassification.from_pretrained("csawai/mega-emotion-analyzer")
  • Notebooks
  • Google Colab
  • Kaggle
mega-emotion-analyzer
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
csawai's picture
csawai
Add feature extractor for mega-emotion-analyzer
405de92 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    5.17 kB
    Train on combined CREMA-D + IEMOCAP dataset - 3 epochs 8 months ago
  • config.json
    2.27 kB
    Train on combined CREMA-D + IEMOCAP dataset - 3 epochs 8 months ago
  • model.safetensors
    1.26 GB
    xet
    Train on combined CREMA-D + IEMOCAP dataset - 3 epochs 8 months ago
  • preprocessor_config.json
    212 Bytes
    Add feature extractor for mega-emotion-analyzer 8 months ago