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Maimonator
/
whisper-tiny-en

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

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

  • Libraries
  • Transformers

    How to use Maimonator/whisper-tiny-en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Maimonator/whisper-tiny-en")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Maimonator/whisper-tiny-en")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Maimonator/whisper-tiny-en")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-en / runs
232 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 40 commits

This model has 1 file scanned as unsafe.

Maimonator's picture
Maimonator
End of training
a52aa74 almost 3 years ago
  • Aug26_17-21-45_tal
    Training in progress, step 500 almost 3 years ago
  • Aug26_17-25-04_tal
    Training in progress, step 500 almost 3 years ago
  • Aug26_17-27-27_tal
    Training in progress, step 500 almost 3 years ago
  • Aug26_17-27-52_tal
    Training in progress, step 500 almost 3 years ago
  • Aug26_17-28-23_tal
    Training in progress, step 500 almost 3 years ago
  • Aug26_21-22-43_tal
    Training in progress, step 500 almost 3 years ago
  • Aug26_21-36-30_tal
    Training in progress, step 500 almost 3 years ago
  • Aug26_23-09-28_tal
    Training in progress, step 50 almost 3 years ago
  • Aug26_23-52-55_tal
    Training in progress, step 50 almost 3 years ago
  • Aug27_00-00-28_tal
    Training in progress, step 150 almost 3 years ago
  • Aug27_00-04-38_tal
    End of training almost 3 years ago
  • Aug27_00-20-00_tal
    End of training almost 3 years ago