Update README.md

README.md

@@ -35,9 +35,6 @@ 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': [0.9954835772514343, 0.002568634692579508, 0.00194773287512362]}
 ```
 
 If more than one candidate label can be correct, pass `multi_class=True` to calculate each class independently:
@@ -45,12 +42,6 @@ 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': ['travel', 'exploration', 'cooking', 'dancing'],
-# 'scores': [0.9968098998069763,
-#  0.9796287417411804,
-#  0.027883002534508705,
-#  0.0008239754824899137]}
 ```
 
 ### Eval results