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Makkoen
/
whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6

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

Instructions to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 / runs
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  • 1 contributor
History: 10 commits
Makkoen's picture
Makkoen
Model save
6c8a71d verified almost 2 years ago
  • Nov26_09-11-57_whisper-finetune-2
    Model save almost 2 years ago