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LBR47
/
whisper-tiny

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

Instructions to use LBR47/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LBR47/whisper-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="LBR47/whisper-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("LBR47/whisper-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("LBR47/whisper-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny / unit5_highest
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  • 1 contributor
History: 1 commit
LBR47's picture
LBR47
Upload events.out.tfevents.1691334855.autodl-container-f1da119ffa-2d209b9d.1079.3
f78d8d1 over 2 years ago
  • events.out.tfevents.1691334855.autodl-container-f1da119ffa-2d209b9d.1079.3
    9.72 kB
    xet
    Upload events.out.tfevents.1691334855.autodl-container-f1da119ffa-2d209b9d.1079.3 over 2 years ago