Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

superb
/
hubert-base-superb-ic

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="superb/hubert-base-superb-ic")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("superb/hubert-base-superb-ic")
    model = AutoModelForAudioClassification.from_pretrained("superb/hubert-base-superb-ic")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-base-superb-ic
378 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
Update README.md
34e16bf over 4 years ago
  • .gitattributes
    737 Bytes
    initial commit over 4 years ago
  • README.md
    3.18 kB
    Update README.md over 4 years ago
  • config.json
    2.5 kB
    Fix labels over 4 years ago
  • preprocessor_config.json
    213 Bytes
    Upload model over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    Upload model over 4 years ago