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slplab
/
lsnoo_asd_after_TD

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

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

  • Libraries
  • Transformers

    How to use slplab/lsnoo_asd_after_TD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="slplab/lsnoo_asd_after_TD")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("slplab/lsnoo_asd_after_TD")
    model = AutoModelForCTC.from_pretrained("slplab/lsnoo_asd_after_TD")
  • Notebooks
  • Google Colab
  • Kaggle
lsnoo_asd_after_TD
1.27 GB
Ctrl+K
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  • 2 contributors
History: 2 commits
lsnoo's picture
lsnoo
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8e1771d over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
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  • config.json
    2.01 kB
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  • preprocessor_config.json
    254 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.27 GB
    xet
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  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    333 Bytes
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  • vocab.json
    18.5 kB
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