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spudnik
/
wavlm-emotion

Audio Classification
Transformers
Safetensors
wavlm
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use spudnik/wavlm-emotion with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="spudnik/wavlm-emotion")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("spudnik/wavlm-emotion")
    model = AutoModelForAudioClassification.from_pretrained("spudnik/wavlm-emotion", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wavlm-emotion
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
spudnik's picture
spudnik
spudnik/group55_wavlm_audio_emotion_recognition
9db0795 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.91 kB
    spudnik/group55_wavlm_audio_emotion_recognition over 1 year ago
  • config.json
    2.9 kB
    spudnik/group55_wavlm_audio_emotion_recognition over 1 year ago
  • model.safetensors
    378 MB
    xet
    spudnik/group55_wavlm_audio_emotion_recognition over 1 year ago
  • training_args.bin
    5.24 kB
    xet
    spudnik/group55_wavlm_audio_emotion_recognition over 1 year ago