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Baselhany
/
Graduation_Project_distillation_Whisper_base222

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

Instructions to use Baselhany/Graduation_Project_distillation_Whisper_base222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Baselhany/Graduation_Project_distillation_Whisper_base222 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_distillation_Whisper_base222")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base222")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base222")
  • Notebooks
  • Google Colab
  • Kaggle
Graduation_Project_distillation_Whisper_base222 / runs
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  • 1 contributor
History: 24 commits
Baselhany's picture
Baselhany
Model save
65d2d63 verified 11 months ago
  • Jun22_14-27-03_5f4c280d2ce3
    Model save 11 months ago
  • Jun22_17-43-15_2f11499da47c
    Model save 11 months ago
  • Jun22_20-40-06_f5b5006f77c1
    Model save 11 months ago
  • Jun23_06-50-11_61f20975cb90
    Model save 11 months ago