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sjdata
/
whisper-tiny-minds14

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 sjdata/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sjdata/whisper-tiny-minds14 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="sjdata/whisper-tiny-minds14")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("sjdata/whisper-tiny-minds14")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("sjdata/whisper-tiny-minds14")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-minds14 / runs
7.97 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
sjdata's picture
sjdata
End of training
f53137b almost 3 years ago
  • Jul06_19-25-03_Mandorax
    End of training almost 3 years ago