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NbAiLab
/
whisper-tiny-gputest

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use NbAiLab/whisper-tiny-gputest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/whisper-tiny-gputest with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-tiny-gputest")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLab/whisper-tiny-gputest")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-tiny-gputest")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-gputest / runs
36.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
pere's picture
pere
End of training
5a54e87 about 3 years ago
  • Mar17_11-26-25_dante
    Training in progress, step 200 about 3 years ago
  • Mar17_11-44-55_dante
    Training in progress, step 200 about 3 years ago
  • Mar17_11-46-06_dante
    End of training about 3 years ago