updated readme

README.md

@@ -11,12 +11,12 @@ This model was trained on the [BBAI dataset](https://github.com/ChrisIsKing/blac
 ## Usage and Performance
 
 Pre-trained models can be used like this:
-```
+```python
 from sentence_transformers import CrossEncoder
 model = CrossEncoder('csclarke/MARS-Encoder')
 scores = model.predict([('question 1', 'response 1'), ('question 1', 'response 2')])
 ```
 
-The model will predict scores for the pairs `('question 1', 'response 1'')` and `('question 1', 'response 2')`.
+The model will predict scores for the pairs `('question 1', 'response 1')` and `('question 1', 'response 2')`.
 
 You can use this model also without sentence_transformers and by just using Transformers ``AutoModel`` class