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lsb
/
tironiculum

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use lsb/tironiculum with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="lsb/tironiculum")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("lsb/tironiculum")
    model = AutoModelForCTC.from_pretrained("lsb/tironiculum")
  • Notebooks
  • Google Colab
  • Kaggle
tironiculum
16.9 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
lsb's picture
lsb
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  • .gitattributes
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • vocab.json
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