Update README.md

README.md

@@ -6,7 +6,7 @@ datasets:
 - cardiffnlp/super_tweeteval
 pipeline_tag: text-classification
 widget:
-- text: "We don't like the search and frisk so this bitch in neutral</s>who the fuck is listening to mike bloomberg railing in 'bernie bros'? mr stop and frisk, literally turned the police on occupy wall street, rnc protestors, and new york muslims. get the fuck out"
+- text: "In this bullpen, you should be able to ask why and understand why we do the things we do.' @Trisha_Ford 😍 #pitchstock2020 @user</s>Castro needs to be the last bullpen guy to pitch.</s>bullpen"
 ---
 # cardiffnlp/twitter-roberta-base-tempo-wic-latest
 
@@ -22,13 +22,14 @@ The original Twitter-based RoBERTa model can be found [here](https://huggingface
 ## Example
 ```python
 from transformers import pipeline
-text_1 = "We don't like the search and frisk so this bitch in neutral"
-text_2 = "who the fuck is listening to mike bloomberg railing in 'bernie bros'? mr stop and frisk, literally turned the police on occupy wall street, rnc protestors, and new york muslims. get the fuck out"
-text_input = f"{text_1}</s>{text_2}"
+text_1 = "'In this bullpen, you should be able to ask why and understand why we do the things we do.' @Trisha_Ford 😍 #pitchstock2020 @user"
+text_2 = "Castro needs to be the last bullpen guy to pitch."
+target = "bullpen"
+text_input = f"{text_1}</s>{text_2}</s>{target}"
 
 pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-base-tempo-wic-latest")
 pipe(text_input)
->> [{'label': 'yes', 'score': 0.9994196891784668}]
+>> [{'label': 'yes', 'score': 0.9964596629142761}]
 ```
 
 ## Citation Information