Update README.md

README.md

@@ -90,7 +90,6 @@ scores = model.predict(
 label_mapping = ["entailment", "neutral", "contradiction"]
 labels = [label_mapping[score_max] for score_max in scores.argmax(axis=1)]
 print(labels)
-# Output: ['entailment', 'contradiction']
 ```
 
 ## Using Transformers Library
@@ -119,7 +118,6 @@ with torch.no_grad():
     label_mapping = ["entailment", "neutral", "contradiction"]
     labels = [label_mapping[score_max] for score_max in scores.argmax(dim=1)]
     print(labels)
-# Output: ['entailment', 'contradiction']
 ```
 
 ## Limitations and Ethical Considerations