Update README.md

README.md

@@ -51,10 +51,20 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM
 tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/ConfliBERT-scr-uncased-BBC_News")
 model = AutoModelForMaskedLM.from_pretrained("eventdata-utd/ConfliBERT-scr-uncased-BBC_News")
 
-# Example of usage
+# Example of usage for masking task
 text = "The government of [MASK] was overthrown in a coup."
 input_ids = tokenizer.encode(text, return_tensors='pt')
 outputs = model(input_ids)
+
+# Example for using the ConfliBERT-cont-cased-20news model
+tokenizer = AutoTokenizer.from_pretrained("eventdata-utd/ConfliBERT-cont-cased-20news")
+model = AutoModelForMaskedLM.from_pretrained("eventdata-utd/ConfliBERT-cont-cased-20news")
+
+# Example of usage for binary classification task
+text = "The President of Brunei asked for protestors to remain peaceful during the upcoming Independence Day holiday."
+input_ids = tokenizer.encode(text, return_tensors='pt')
+outputs = model(input_ids)
+
 ```
 
 ## Limitations and Bias