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facebook
/
data2vec-audio-base-10m

Automatic Speech Recognition
Transformers
PyTorch
English
data2vec-audio
speech
Model card Files Files and versions
xet
Community
1

Instructions to use facebook/data2vec-audio-base-10m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/data2vec-audio-base-10m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="facebook/data2vec-audio-base-10m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCTC
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/data2vec-audio-base-10m")
    model = AutoModelForCTC.from_pretrained("facebook/data2vec-audio-base-10m")
  • Notebooks
  • Google Colab
  • Kaggle
data2vec-audio-base-10m
373 MB
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  • 1 contributor
History: 3 commits
patrickvonplaten's picture
patrickvonplaten
Create README.md
d3dc1a0 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    2.77 kB
    Create README.md about 4 years ago
  • config.json
    1.64 kB
    add model about 4 years ago
  • preprocessor_config.json
    256 Bytes
    add model about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    373 MB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    85 Bytes
    add model about 4 years ago
  • tokenizer_config.json
    565 Bytes
    add model about 4 years ago
  • vocab.json
    291 Bytes
    add model about 4 years ago