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TheGreatQuran2026
/
recitation-segmenter-v2-quantized

Automatic Speech Recognition
Transformers
ONNX
Arabic
Generated from Trainer
arabic
quran
speech-segmentation
quantized
int8
audio-classification
Model card Files Files and versions
xet
Community

Instructions to use TheGreatQuran2026/recitation-segmenter-v2-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TheGreatQuran2026/recitation-segmenter-v2-quantized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="TheGreatQuran2026/recitation-segmenter-v2-quantized")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("TheGreatQuran2026/recitation-segmenter-v2-quantized", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
recitation-segmenter-v2-quantized
Ctrl+K
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  • 1 contributor
History: 4 commits
TheGreatQuran2026's picture
TheGreatQuran2026
Update README.md
9c9ca11 verified 29 days ago
  • .gitattributes
    1.52 kB
    initial commit 29 days ago
  • README.md
    9.08 kB
    Update README.md 29 days ago
  • model_q8.onnx
    588 MB
    xet
    Upload model_q8.onnx with huggingface_hub 29 days ago