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MohammedNasri
/
WHISPER-LARGE-ARABIC

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Arabic
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use MohammedNasri/WHISPER-LARGE-ARABIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MohammedNasri/WHISPER-LARGE-ARABIC with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MohammedNasri/WHISPER-LARGE-ARABIC")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("MohammedNasri/WHISPER-LARGE-ARABIC")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("MohammedNasri/WHISPER-LARGE-ARABIC", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
WHISPER-LARGE-ARABIC / runs
24.2 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
MohammedNasri's picture
MohammedNasri
Training in progress, step 2000
78fa9ae over 3 years ago
  • Apr06_08-45-11_8d11f99af7bd
    Training in progress, step 2000 over 3 years ago