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nesrine19
/
whisper_model-ar

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

Instructions to use nesrine19/whisper_model-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nesrine19/whisper_model-ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nesrine19/whisper_model-ar")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("nesrine19/whisper_model-ar")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("nesrine19/whisper_model-ar")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_model-ar / runs
341 Bytes
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  • 1 contributor
History: 1 commit
nesrine19's picture
nesrine19
End of training
7d36f75 verified over 2 years ago
  • Mar01_15-24-41_jupyter-nesrine-2eabdelhak-40ensia-2eedu-2edz
    End of training over 2 years ago