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Devanshj7
/
whisper-dev

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

Instructions to use Devanshj7/whisper-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Devanshj7/whisper-dev with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Devanshj7/whisper-dev")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Devanshj7/whisper-dev")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Devanshj7/whisper-dev")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-dev / runs
16.7 kB
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  • 1 contributor
History: 5 commits
Devanshj7's picture
Devanshj7
Training in progress, step 1000
13595e5 verified about 2 years ago
  • Apr01_10-28-17_n-ca7896dd-cb1c-4b96-a998-7bfb4cf37e61-0
    Training in progress, step 1000 about 2 years ago