Update README.md

README.md

@@ -28,7 +28,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('{MODEL_NAME}')
+model = SentenceTransformer('OmarAlsaabi/e5-base-mlqa-finetuned-arabic-for-rag')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```