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stdbug
/
whisper-tiny-ba

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

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

  • Libraries
  • Transformers

    How to use stdbug/whisper-tiny-ba with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="stdbug/whisper-tiny-ba")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("stdbug/whisper-tiny-ba")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("stdbug/whisper-tiny-ba")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-ba / runs
31 kB
Ctrl+K
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  • 1 contributor
History: 21 commits
stdbug's picture
stdbug
End of training
4bbf021 verified 11 months ago
  • Jul01_18-17-13_DESKTOP-GRFRT6G
    Training in progress, step 5 11 months ago
  • Jul01_21-46-53_DESKTOP-GRFRT6G
    End of training 11 months ago