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maag
/
whisper_tiny_cs

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

Instructions to use maag/whisper_tiny_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use maag/whisper_tiny_cs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="maag/whisper_tiny_cs")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("maag/whisper_tiny_cs")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("maag/whisper_tiny_cs")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_tiny_cs / runs
64.9 kB
Ctrl+K
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  • 1 contributor
History: 10 commits
maag's picture
maag
End of training
a1346a6 over 2 years ago
  • Aug18_10-10-50_gpu01
    End of training over 2 years ago
  • Aug18_11-06-28_gpu01
    End of training over 2 years ago