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birgermoell
/
psst-libri960_big

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use birgermoell/psst-libri960_big with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use birgermoell/psst-libri960_big with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="birgermoell/psst-libri960_big")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("birgermoell/psst-libri960_big")
    model = AutoModelForCTC.from_pretrained("birgermoell/psst-libri960_big", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
psst-libri960_big
2.52 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
ff0f4cc verified over 1 year ago
  • .gitattributes
    1.27 kB
    Adding `safetensors` variant of this model over 1 year ago
  • README.md
    71 Bytes
    Create README.md over 4 years ago
  • config.json
    1.99 kB
    Added model over 4 years ago
  • model.safetensors
    1.26 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
    xet
    Added model over 4 years ago