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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
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot

Librarian Bot: Add base_model information to model

#1 opened over 2 years ago by
librarian-bot
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