Update README.md

README.md

@@ -52,7 +52,7 @@ model.to(device)
 examples = {'appName': ['Google Chrome', 'Google Chrome'], 'review': ['This app is great, the speed is unmatched', 'Bad app, crashes constantly']}  
 model_inputs = tokenize_function(examples) # assuming example has the fields 'appName' and 'review'. tokenize_function is in the GitHub repo in data_utils.py.
 
-outputs = generate(model, model_inputs, return_type = 'labels') # generate() is in the github repo and generates either labels or rationales depening on return_type. Default is 'labels' but can be changed to 'rationales'  
+outputs = generate(model, model_inputs, return_type = 'labels') # generate() is in the github repo and generates either labels or rationales depening on return_type. Default is 'labels'
 tokenizer.decode(outputs[0], skip_special_tokens=True) # prints '"speed": "positive"'  
 tokenizer.decode(outputs[1], skip_special_tokens=True) # prints '"crashes": "negative"'