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README.md

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 # Arabic Question generation Model
 [AraT5-Base Model](https://huggingface.co/UBC-NLP/AraT5-base) fine-tuned on Arabic Question-Answering Dataset for **Question generation** by just prepending the *answer* to the context*
  
-## Details of Ara-T5
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-The **Ara-T5** model was presented in [AraT5: Text-to-Text Transformers for Arabic Language Generation](https://arxiv.org/abs/2109.12068) by *El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed* 
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 ## Model in Action 🚀
 ```python
 from transformers import AutoTokenizer,AutoModelForSeq2SeqLM
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 #output : question="كم استمرت الثورة الجزائرية؟ " 
 
 ```
+## Details of Ara-T5
+
+The **Ara-T5** model was presented in [AraT5: Text-to-Text Transformers for Arabic Language Generation](https://arxiv.org/abs/2109.12068) by *El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed* 
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 ## Citation
 If you want to cite this model you can use this: