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garnagar
/
whisper-tiny-libirClean-vs-commonNative

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use garnagar/whisper-tiny-libirClean-vs-commonNative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use garnagar/whisper-tiny-libirClean-vs-commonNative with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="garnagar/whisper-tiny-libirClean-vs-commonNative")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("garnagar/whisper-tiny-libirClean-vs-commonNative")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("garnagar/whisper-tiny-libirClean-vs-commonNative")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-libirClean-vs-commonNative / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
garnagar's picture
garnagar
Training in progress, step 500
215ddc3 over 3 years ago
  • Dec07_09-46-42_73abc972721c
    Training in progress, step 1000 over 3 years ago
  • Dec07_14-46-14_bf9409db6cb6
    Training in progress, step 500 over 3 years ago