Update README.md

README.md

@@ -16,11 +16,28 @@ 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 three categories.
+These three categories are the subcategories of Pump - essentially when a user asks a question and expects an answer in response
+
+- Value: a slot value or a calculation
+- Clarification: Asking for further information on a previous answer
+- Testing: Testing for knowledge of facts and definitions
+
+Takes a user input of string text and classifies it according to one of three categories.
 
 ## Intended uses & limitations
 
-More information needed
+
+from transformers import pipeline
+classifier = pipeline("text-classification",model="mp6kv/pump_intent_test")
+
+
+output = classifier("What is the value of the length of the blue object?")
+
+score = output[0]['score']
+
+label = output[0]['label']
+
 
 ## Training and evaluation data