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ahazeemi
/
pruswav2vec

Automatic Speech Recognition
Transformers
PyTorch
Urdu
wav2vec2
feature-extraction
Model card Files Files and versions
xet
Community
1

Instructions to use ahazeemi/pruswav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ahazeemi/pruswav2vec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ahazeemi/pruswav2vec")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("ahazeemi/pruswav2vec")
    model = AutoModel.from_pretrained("ahazeemi/pruswav2vec")
  • Notebooks
  • Google Colab
  • Kaggle
pruswav2vec
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ahazeemi's picture
ahazeemi
Upload preprocessor_config.json
31254e7 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    102 Bytes
    Create README.md about 3 years ago
  • config.json
    2.41 kB
    add model about 3 years ago
  • preprocessor_config.json
    215 Bytes
    Upload preprocessor_config.json about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    add model about 3 years ago