ADANiD/Quranlab-islamic-dataset
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How to use ADANiD/Quranlab-AI with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="ADANiD/Quranlab-AI") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("ADANiD/Quranlab-AI")
model = AutoModelForSequenceClassification.from_pretrained("ADANiD/Quranlab-AI")World's first AI system for comprehensive Islamic knowledge extraction with Tajweed analysis and Abjad validation
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ADANiD/Quranlab-AI")
tokenizer = AutoTokenizer.from_pretrained("ADANiD/Quranlab-AI")
from datasets import load_dataset
dataset = load_dataset("ADANiD/Quranlab-islamic-dataset")
# Your fine-tuning code here
from fastapi import FastAPI
app = FastAPI()
@app.post("/analyze-quran")
async def analyze_quran(text: str):
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)
return {
"classification": outputs.logits.argmax().item(),
"jannah_points": calculate_jannah_points(outputs.logits)
}
"And We have certainly made the Qur'an easy for remembrance..." β Quran 54:17
"Read in the name of your Lord who created..." β Quran 96:1
Built by Muhammad Adnan Ul Mustafa
Base model
aubmindlab/bert-base-arabertv2