Update README.md

README.md

@@ -16,11 +16,27 @@ This model is a fine-tuned version of [roberta-base](https://huggingface.co/robe
 
 ## Model description
 
-More information needed
+Custom data generated labeling text according to these five categories.
+Five categories represent the five essential intents of a user for the ACTS scenario.
+
+- Connect : Greetings and introduction with the student
+- Pump : Asking the student for information
+- Inform : Providing information to the student 
+- Feedback : Praising the student (positive feedback) or informing the student they are not on the right path (negative feedback)
+- None : Not related to scenario
+
+Takes a user input of string text and classifies it according to one of five categories.
 
 ## Intended uses & limitations
 
-More information needed
+
+from transformers import pipeline
+classifier = pipeline("text-classification",model="mp6kv/main_intent_test")
+
+
+output = classifier("great job, you're getting it!")
+output[0]['score']
+output[0]['label']
 
 ## Training and evaluation data