Instructions to use fryad-yaseen/quran-phoneme-ctc-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fryad-yaseen/quran-phoneme-ctc-small-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fryad-yaseen/quran-phoneme-ctc-small-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Quran Phoneme Recognition (CTC)
Whisper encoder + CTC head trained for Arabic Quran phoneme recognition.
Usage
See quran-recitation-eval for inference code.
Training
- Base model: whisper-tiny/small encoder (no decoder)
- Loss: CTC
- Vocab: 42 Arabic phonemes
- Data: 7 reciters, ayah-level audio segments ≤10s
Inference Providers NEW
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