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NightPrince
/
stt-arabic-whisper-finetuned-diactires

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
arabic
quran
tashkeel
diacritics
tajweed
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use NightPrince/stt-arabic-whisper-finetuned-diactires with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NightPrince/stt-arabic-whisper-finetuned-diactires with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NightPrince/stt-arabic-whisper-finetuned-diactires")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NightPrince/stt-arabic-whisper-finetuned-diactires")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NightPrince/stt-arabic-whisper-finetuned-diactires")
  • Notebooks
  • Google Colab
  • Kaggle
stt-arabic-whisper-finetuned-diactires / tensorboard
16.1 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
NightPrince's picture
NightPrince
Training in progress, step 2000
3376c19 verified 3 months ago
  • events.out.tfevents.1773793719.ZionX.41702.0
    16.1 kB
    xet
    Training in progress, step 2000 3 months ago