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deepdml
/
whisper-base-ar-mix-norm

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

Instructions to use deepdml/whisper-base-ar-mix-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use deepdml/whisper-base-ar-mix-norm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="deepdml/whisper-base-ar-mix-norm", device_map="auto")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("deepdml/whisper-base-ar-mix-norm")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-base-ar-mix-norm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base-ar-mix-norm / runs
Ctrl+K
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  • 1 contributor
History: 27 commits
deepdml's picture
deepdml
Training in progress, step 18000
c3ad4ca verified 5 months ago
  • Feb21_18-21-29_32895c83bbac
    Training in progress, step 8000 5 months ago
  • Feb24_15-40-14_c579e78e1312
    Training in progress, step 18000 5 months ago
  • Sep13_16-44-41_7cd27b3a0909
    Training in progress, step 5000 10 months ago