Update README.md

README.md

@@ -14,7 +14,7 @@ The model can be used both for Semantic Textual Similarity and re-ranking.
 ```python
 from sentence_transformers import CrossEncoder
 
-model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle256 ', max_length=256)
+model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle256', max_length=256)
 
 scores = model.predict([["sentence_1", "sentence_2"]])
 print(scores)
@@ -27,7 +27,7 @@ print(scores)
 ```python
 from sentence_transformers import CrossEncoder
 
-model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle256 ', max_length=256)
+model = CrossEncoder('ctu-aic/CE-fernet-c5-sfle256', max_length=256)
 
 query = "Example query for."