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molto
/
ft_1

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

Instructions to use molto/ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use molto/ft_1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="molto/ft_1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("molto/ft_1")
    model = AutoModelForCTC.from_pretrained("molto/ft_1")
  • Notebooks
  • Google Colab
  • Kaggle
ft_1 / runs
246 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 163 commits
molto's picture
molto
End of training
7b47a83 over 2 years ago
  • Jan04_15-05-44_DESKTOP-CE5K89C
    End of training over 2 years ago
  • Jun30_12-03-47_DESKTOP-CE5K89C
    Training in progress, step 1000 over 2 years ago