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xmj2002
/
hubert-base-ch-speech-emotion-recognition

Audio Classification
Transformers
PyTorch
Chinese
hubert
Model card Files Files and versions
xet
Community
5

Instructions to use xmj2002/hubert-base-ch-speech-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xmj2002/hubert-base-ch-speech-emotion-recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="xmj2002/hubert-base-ch-speech-emotion-recognition")
    # Load model directly
    from transformers import AutoProcessor, HubertForSpeechClassification
    
    processor = AutoProcessor.from_pretrained("xmj2002/hubert-base-ch-speech-emotion-recognition")
    model = HubertForSpeechClassification.from_pretrained("xmj2002/hubert-base-ch-speech-emotion-recognition", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-base-ch-speech-emotion-recognition
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  • 1 contributor
History: 12 commits
xmj2002's picture
xmj2002
Update README.md
520fe38 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    4.11 kB
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  • accuracy.png
    143 kB
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  • config.json
    1.5 kB
    Upload HubertForSpeechClassification over 3 years ago
  • loss.png
    119 kB
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  • preprocessor_config.json
    213 Bytes
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  • pytorch_model.bin
    380 MB
    xet
    Upload HubertForSpeechClassification over 3 years ago