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devkyle
/
whisper-tiny-10dp

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

Instructions to use devkyle/whisper-tiny-10dp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devkyle/whisper-tiny-10dp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-tiny-10dp")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("devkyle/whisper-tiny-10dp")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-tiny-10dp")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-10dp / runs
38.4 kB
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  • 1 contributor
History: 3 commits
devkyle's picture
devkyle
Training in progress, step 2000
5509f51 verified over 1 year ago
  • Sep14_23-21-26_001864b83f02
    End of training over 1 year ago
  • Sep15_00-19-28_001864b83f02
    Training in progress, step 1000 over 1 year ago
  • Sep16_06-20-55_f447a4375dea
    Training in progress, step 2000 over 1 year ago