Update README.md

README.md

@@ -38,13 +38,33 @@ It achieves the following results on the evaluation set:
 - Accuracy: 0.7416
 - F1: 0.7406
 
-## Model description
+### Cite this model
+```
+-Noaman, H. (2023). Improved Emotion Detection Framework for Arabic Text using Transformer Models.
+Advanced Engineering Technology and Application, 12(2), 1-11.
 
-More information needed
+@article{noaman2023improved,
+  title={Improved Emotion Detection Framework for Arabic Text using Transformer Models},
+  author={Noaman, Hatem},
+  journal={Advanced Engineering Technology and Application},
+  volume={12},
+  number={2},
+  pages={1--11},
+  year={2023},
+  publisher={Fayoum University}
+}
+```
 
-## Intended uses & limitations
+## Load Pretrained Model
+You can use this model by
+
+```python 
+from transformers import AutoTokenizer, AutoModel
+
+tokenizer = AutoTokenizer.from_pretrained("hatemnoaman/bert-base-arabic-finetuned-emotion")
+model = AutoModel.from_pretrained("hatemnoaman/bert-base-arabic-finetuned-emotion")
+```
 
-More information needed
 
 ## Training and evaluation data
 
@@ -82,5 +102,4 @@ The following hyperparameters were used during training:
 - Datasets 2.8.0
 - Tokenizers 0.13.2
 
-### Cite this model
--Noaman, H. (2023). Improved Emotion Detection Framework for Arabic Text using Transformer Models. Advanced Engineering Technology and Application, 12(2), 1-11.
+