Update README.md

README.md

@@ -84,13 +84,16 @@ model_args = ClassificationArgs(
         regression=True,
     )
 model = ClassificationModel(model_type="xlmroberta", model_name="classla/xlm-r-parlasent",use_cuda=torch.cuda.is_available(), num_labels=1,args=model_args)
-model.predict(["I fully disagree with this argument.", "The ministers are entering the chamber.", "Things can always be improved in the future.", "These are great news."])
+model.predict(["I fully disagree with this argument.", 
+               "The ministers are entering the chamber.",
+               "Things can always be improved in the future.",
+               "These are great news."])
 ```
 
 Output:
 ```python
 (
-  array([0.11633301, 3.63671875, 4.203125  , 5.30859375]),
-  array([0.11633301, 3.63671875, 4.203125  , 5.30859375])
+  array([0.11633301, 3.63671875, 4.203125, 5.30859375]),
+  array([0.11633301, 3.63671875, 4.203125, 5.30859375])
 )
 ```