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BKat
/
whisper-tiny-en-US

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

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

  • Libraries
  • Transformers

    How to use BKat/whisper-tiny-en-US with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="BKat/whisper-tiny-en-US")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("BKat/whisper-tiny-en-US")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("BKat/whisper-tiny-en-US")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-en-US / runs
43.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
BKat's picture
BKat
Training in progress, step 300
11f5f55 over 2 years ago
  • Dec20_11-04-03_adpsfv4112
    Training in progress, step 200 over 2 years ago
  • Dec20_11-32-54_adpsfv4112
    Training in progress, step 100 over 2 years ago
  • Dec20_13-05-10_adpsfv4112
    Training in progress, step 100 over 2 years ago
  • Dec20_13-28-32_adpsfv4112
    Training in progress, step 300 over 2 years ago