Update README.md

README.md

@@ -20,11 +20,21 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model is fine-tuned for Arabic Sentiment Analysis. It can classify Arabic text into different emotional categories (Positive/Negative).
+
+- **Developed by:** Hager Abbas
+- **Language:** Arabic
+- **Model Type:** Text Classification
+- **Fine-tuned from:** [اسم الموديل الأصلي اللي استخدمناه، غالباً bert-base-arabic]
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended for analyzing social media posts, customer reviews, and general Arabic text to determine sentiment.
+## How to use
+```python
+from transformers import pipeline
+classifier = pipeline("sentiment-analysis", model="HagerAbbas/اسم-الموديل-بتاعك")
+classifier("أنا سعيد جداً بهذا الإنجاز")
 
 ## Training and evaluation data