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abukashan
/
whisper_small_fine_tuning

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

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

  • Libraries
  • Transformers

    How to use abukashan/whisper_small_fine_tuning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="abukashan/whisper_small_fine_tuning")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("abukashan/whisper_small_fine_tuning")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("abukashan/whisper_small_fine_tuning", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_small_fine_tuning / runs
56.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
abukashan's picture
abukashan
Training in progress, step 3000
7cee48e verified over 2 years ago
  • Jan27_14-04-47_3e4e2777d081
    Training in progress, step 1000 over 2 years ago
  • Jan27_14-11-07_3e4e2777d081
    Training in progress, step 1000 over 2 years ago
  • Jan27_14-15-45_3e4e2777d081
    Training in progress, step 1000 over 2 years ago
  • Jan27_14-25-02_3e4e2777d081
    Training in progress, step 1000 over 2 years ago
  • Jan27_15-05-12_3e4e2777d081
    Training in progress, step 3000 over 2 years ago