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TopSlayer
/
whisper-small-lo

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Lao
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use TopSlayer/whisper-small-lo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="TopSlayer/whisper-small-lo")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("TopSlayer/whisper-small-lo")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("TopSlayer/whisper-small-lo")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-lo / runs
130 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
TopSlayer's picture
TopSlayer
End of training
c598032 verified over 1 year ago
  • Feb19_05-01-02_befbf86e6128
    Training in progress, step 1000 over 1 year ago
  • Feb19_05-03-57_befbf86e6128
    Training in progress, step 1000 over 1 year ago
  • Feb19_05-10-50_befbf86e6128
    Training in progress, step 1000 over 1 year ago
  • Feb19_05-15-05_befbf86e6128
    Training in progress, step 1000 over 1 year ago
  • Feb19_05-18-44_befbf86e6128
    Training in progress, step 5000 over 1 year ago
  • Feb28_17-19-15_71552622cae6
    End of training over 1 year ago