Update README.md

README.md

@@ -36,9 +36,6 @@ You can then use this pipeline to classify sequences into any of the class names
 sequence_to_classify = "one day I will see the world"
 candidate_labels = ['travel', 'cooking', 'dancing']
 classifier(sequence_to_classify, candidate_labels)
-#{'sequence': 'one day I will see the world',
-# 'labels': ['travel', 'dancing', 'cooking'],
-# 'scores': [0.9878318905830383, 0.01044005248695612, 0.001728130504488945]}
 ```
 
 If more than one candidate label can be correct, pass `multi_class=True` to calculate each class independently:
@@ -46,12 +43,6 @@ If more than one candidate label can be correct, pass `multi_class=True` to calc
 ```python
 candidate_labels = ['travel', 'cooking', 'dancing', 'exploration']
 classifier(sequence_to_classify, candidate_labels, multi_class=True)
-#{'sequence': 'one day I will see the world',
-# 'labels': ['exploration', 'travel', 'dancing', 'cooking'],
-# 'scores': [0.9956096410751343,
-#  0.9929478764533997,
-#  0.21706733107566833,
-#  0.0005817742203362286]}
 ```
 
 ### Eval results