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auro
/
whisper-cli-small-or

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Oriya
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use auro/whisper-cli-small-or with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="auro/whisper-cli-small-or")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("auro/whisper-cli-small-or")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("auro/whisper-cli-small-or")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-cli-small-or / runs
83.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
auro's picture
auro
End of training
8f0750c over 3 years ago
  • Dec20_11-31-39_auro-All-Series
    Training in progress, step 1000 over 3 years ago
  • Dec20_11-56-46_auro-All-Series
    Training in progress, step 1000 over 3 years ago
  • Dec20_12-02-34_auro-All-Series
    Training in progress, step 1000 over 3 years ago
  • Dec20_12-06-36_auro-All-Series
    Training in progress, step 1000 over 3 years ago
  • Dec20_12-16-32_auro-All-Series
    End of training over 3 years ago