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facebook
/
data2vec-audio-base

Feature Extraction
Transformers
PyTorch
English
data2vec-audio
speech
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use facebook/data2vec-audio-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="facebook/data2vec-audio-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/data2vec-audio-base")
    model = AutoModel.from_pretrained("facebook/data2vec-audio-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
data2vec-audio-base
373 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
patrickvonplaten's picture
patrickvonplaten
Create README.md
1f5a640 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    2.38 kB
    Create README.md about 4 years ago
  • config.json
    1.62 kB
    Upload model & config about 4 years ago
  • preprocessor_config.json
    214 Bytes
    Upload model & config about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    373 MB
    xet
    Upload model & config about 4 years ago