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codeinout
/
whisper-small-mine

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

Instructions to use codeinout/whisper-small-mine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use codeinout/whisper-small-mine with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="codeinout/whisper-small-mine")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("codeinout/whisper-small-mine")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("codeinout/whisper-small-mine")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-mine / runs
24 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
codeinout's picture
codeinout
End of training
cfbbaf7 almost 3 years ago
  • Jul01_14-50-47_4d6c08e0f92b
    Training in progress, step 100 almost 3 years ago
  • Jul01_14-55-39_4d6c08e0f92b
    End of training almost 3 years ago