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omarabb315
/
Full-whisper-large-v3-ar

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use omarabb315/Full-whisper-large-v3-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use omarabb315/Full-whisper-large-v3-ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="omarabb315/Full-whisper-large-v3-ar")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("omarabb315/Full-whisper-large-v3-ar")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("omarabb315/Full-whisper-large-v3-ar", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Full-whisper-large-v3-ar / runs /Jan25_00-07-48_907ea76d47d8
5.23 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
omarabb315's picture
omarabb315
Training in progress, step 5359
8036257 verified over 2 years ago
  • events.out.tfevents.1706130496.907ea76d47d8.48445.0
    5.23 kB
    xet
    Training in progress, step 5359 over 2 years ago