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superb
/
hubert-base-superb-er

Audio Classification
Transformers
PyTorch
English
hubert
speech
audio
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="superb/hubert-base-superb-er")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("superb/hubert-base-superb-er")
    model = AutoModelForAudioClassification.from_pretrained("superb/hubert-base-superb-er")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-base-superb-er
378 MB
Ctrl+K
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  • 3 contributors
History: 6 commits
mishig's picture
mishig HF Staff
Upload README.md
bac0e14 over 4 years ago
  • .gitattributes
    737 Bytes
    initial commit over 4 years ago
  • README.md
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    Upload README.md over 4 years ago
  • config.json
    1.66 kB
    Fix labels over 4 years ago
  • preprocessor_config.json
    213 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    378 MB
    xet
    Upload model over 4 years ago