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ternikov
/
whisper-tiny-check

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

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

  • Libraries
  • Transformers

    How to use ternikov/whisper-tiny-check with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ternikov/whisper-tiny-check")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ternikov/whisper-tiny-check")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ternikov/whisper-tiny-check")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-check / runs
11.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ternikov's picture
ternikov
End of training
0f062a2 verified about 2 years ago
  • Feb28_09-05-21_89bc031966d9
    End of training about 2 years ago