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RecCode
/
whisper_final

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

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

  • Libraries
  • Transformers

    How to use RecCode/whisper_final with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RecCode/whisper_final")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("RecCode/whisper_final")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("RecCode/whisper_final")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_final / runs
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  • 1 contributor
History: 12 commits
RecCode's picture
RecCode
RecCode/whisper_final
be6a0c8 verified over 2 years ago
  • Jan26_10-02-49_a67ccab2214d
    RecCode/whisper_final over 2 years ago