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ms3c
/
model-output

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ms3c/model-output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ms3c/model-output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ms3c/model-output")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ms3c/model-output")
    model = AutoModelForCTC.from_pretrained("ms3c/model-output")
  • Notebooks
  • Google Colab
  • Kaggle
model-output / runs
6 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
ms3c's picture
ms3c
End of training
8e8a30a over 2 years ago
  • Nov06_16-44-40_6d52f806576e
    End of training over 2 years ago