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patrickvonplaten
/
data2vec-base-960h

Automatic Speech Recognition
Transformers
PyTorch
data2vec-audio
Model card Files Files and versions
xet
Community
2

Instructions to use patrickvonplaten/data2vec-base-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use patrickvonplaten/data2vec-base-960h with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/data2vec-base-960h")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCTC
    
    tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/data2vec-base-960h")
    model = AutoModelForCTC.from_pretrained("patrickvonplaten/data2vec-base-960h")
  • Notebooks
  • Google Colab
  • Kaggle
data2vec-base-960h
373 MB
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  • 1 contributor
History: 3 commits
patrickvonplaten's picture
patrickvonplaten
up
807ee1e about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    1.92 kB
    up about 4 years ago
  • preprocessor_config.json
    256 Bytes
    up about 4 years ago
  • pytorch_model.bin
    373 MB
    xet
    up about 4 years ago
  • special_tokens_map.json
    85 Bytes
    up about 4 years ago
  • tokenizer_config.json
    529 Bytes
    up about 4 years ago
  • vocab.json
    291 Bytes
    up about 4 years ago