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Baselhany
/
Distilation_Whisper_base_CKP_10k

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/Distilation_Whisper_base_CKP_10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Baselhany/Distilation_Whisper_base_CKP_10k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Baselhany/Distilation_Whisper_base_CKP_10k")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Baselhany/Distilation_Whisper_base_CKP_10k")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Distilation_Whisper_base_CKP_10k", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Distilation_Whisper_base_CKP_10k / runs
87 kB
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  • 1 contributor
History: 60 commits
Baselhany's picture
Baselhany
Model save
7f69051 verified about 1 year ago
  • May22_18-17-53_1b83e2dd873e
    Model save about 1 year ago
  • May23_01-51-00_8aee6edde1f3
    Model save about 1 year ago
  • May23_07-56-05_c15e405baed2
    Model save about 1 year ago
  • May24_00-06-33_0a4de841d5e1
    Model save about 1 year ago