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UsmanAXAI
/
whisper-medium-ft-custom

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
ar-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use UsmanAXAI/whisper-medium-ft-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UsmanAXAI/whisper-medium-ft-custom with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UsmanAXAI/whisper-medium-ft-custom")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("UsmanAXAI/whisper-medium-ft-custom")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("UsmanAXAI/whisper-medium-ft-custom", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-ft-custom / runs
64.5 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
UsmanAXAI's picture
UsmanAXAI
Training in progress, step 1000
74f1374 verified over 2 years ago
  • Feb26_15-33-15_m4
    Training in progress, step 500 over 2 years ago
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    Training in progress, step 500 over 2 years ago
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    Training in progress, step 500 over 2 years ago
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    Training in progress, step 500 over 2 years ago
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    Training in progress, step 500 over 2 years ago
  • Feb26_15-55-35_m4
    Training in progress, step 500 over 2 years ago
  • Feb26_15-56-05_m4
    Training in progress, step 500 over 2 years ago
  • Feb26_16-02-54_m4
    Training in progress, step 500 over 2 years ago
  • Feb26_16-03-19_m4
    Training in progress, step 500 over 2 years ago
  • Feb26_16-13-29_m4
    Training in progress, step 500 over 2 years ago
  • Feb26_16-24-09_m4
    Training in progress, step 1000 over 2 years ago