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SLPL
/
Hubert-base-ShEMO

Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use SLPL/Hubert-base-ShEMO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SLPL/Hubert-base-ShEMO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="SLPL/Hubert-base-ShEMO")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("SLPL/Hubert-base-ShEMO")
    model = AutoModelForAudioClassification.from_pretrained("SLPL/Hubert-base-ShEMO")
  • Notebooks
  • Google Colab
  • Kaggle
Hubert-base-ShEMO / runs
145 kB
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  • 1 contributor
History: 1 commit
z-rahimi-r's picture
z-rahimi-r
End of training
e62f0f1 verified almost 2 years ago
  • Jun10_08-17-05_238d727e1444
    End of training almost 2 years ago
  • Jun10_09-12-11_238d727e1444
    End of training almost 2 years ago
  • Jun10_09-52-48_238d727e1444
    End of training almost 2 years ago