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kazeric
/
whisper_small_no_overfit

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

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

  • Libraries
  • Transformers

    How to use kazeric/whisper_small_no_overfit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="kazeric/whisper_small_no_overfit")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("kazeric/whisper_small_no_overfit")
    model = AutoModelForMultimodalLM.from_pretrained("kazeric/whisper_small_no_overfit")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_small_no_overfit / runs
15.9 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
kazeric's picture
kazeric
trying to implement an overfit stopping function
7814b4d verified about 1 year ago
  • May04_18-50-56_55bea6f5aa15
    Training in progress, step 100 about 1 year ago
  • May04_20-15-29_23b97073ec39
    trying to implement an overfit stopping function about 1 year ago