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superb
/
wav2vec2-base-superb-er

Audio Classification
Transformers
PyTorch
English
wav2vec2
speech
audio
Model card Files Files and versions
xet
Community
2

Instructions to use superb/wav2vec2-base-superb-er with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use superb/wav2vec2-base-superb-er with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="superb/wav2vec2-base-superb-er")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("superb/wav2vec2-base-superb-er")
    model = AutoModelForAudioClassification.from_pretrained("superb/wav2vec2-base-superb-er")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot

Session used for the training of the published model

#1 opened over 3 years ago by
alkiskoudounas
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