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UsmanAXAI
/
whisper-medium-ft-client

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UsmanAXAI/whisper-medium-ft-client")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("UsmanAXAI/whisper-medium-ft-client")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("UsmanAXAI/whisper-medium-ft-client")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-ft-client / runs
20.8 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
UsmanAXAI's picture
UsmanAXAI
Training in progress, step 500
9721d66 verified about 2 years ago
  • Feb27_20-00-44_m4
    Training in progress, step 500 about 2 years ago
  • Feb27_20-06-10_m4
    Training in progress, step 500 about 2 years ago
  • Feb27_20-07-18_m4
    Training in progress, step 500 about 2 years ago
  • Feb27_20-08-15_m4
    Training in progress, step 500 about 2 years ago