Instructions to use ADANiD/Quranlab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ADANiD/Quranlab with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ADANiD/Quranlab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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---
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license: other
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---
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license: other
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datasets:
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- tarteel-ai/quran-tarteel-v2
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- ArabicSpeech/iqraeval
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- Nuwaisir/Quran_ASR_Dataset
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- MohamedRashad/Quran-Recitations
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- IqraEval/QuranMB.v2
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language:
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- ar
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- en
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metrics:
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- wer
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- cer
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base_model: openai/whisper-base
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library_name: transformers
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tags:
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- quran
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- tajweed
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- islamic-ai
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- adanid-ecosystem
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- recitation-analysis
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- pronunciation-scoring
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pipeline_tag: automatic-speech-recognition
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---
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# 🌙 QuranLab Core
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> **Ethical AI for Quranic Recitation Analysis**
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> Part of the [ADANiD Ecosystem](https://github.com/ADANiD-AI)
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## ⚠️ License Notice
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**FREE for personal/educational use. COMMERCIAL USE REQUIRES PAID LICENSE.**
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Contact: **adnanmd76@gmail.com**
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## 🧠 Capabilities
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- **ASR**: Transcribe Quranic Arabic (WER: 5.75%)
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- **Tajweed**: Detect errors (madd, ghunnah, idgham)
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- **Position**: Identify Surah & Ayah
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- **Scoring**: Pronunciation quality (0–100)
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## 🔗 Integration
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- **GitHub**: [QuranLab](https://github.com/ADANiD-AI/QuranLab)
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- **Frontend**: [IlmStudio-AI](https://github.com/ADANiD-AI/IlmStudio-AI)
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> "And We have certainly made the Qur’an easy for remembrance..." (Quran 54:17)
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