Update README.md

README.md

@@ -1,15 +1,14 @@
+```
 from transformers import (
     T5ForConditionalGeneration,
     T5Tokenizer
 )
+
 import pandas as pd
 import numpy as np
 
-
-
-
-tokenizer = T5Tokenizer.from_pretrained(model_name)
-model = T5ForConditionalGeneration.from_pretrained(model_name, return_dict=True)
+tokenizer = T5Tokenizer.from_pretrained("ashishkat/questionAnswer")
+model = T5ForConditionalGeneration.from_pretrained("ashishkat/questionAnswer", return_dict=True)
 
 
 def generate_answer(question, context):
@@ -47,4 +46,6 @@ def generate_answer(question, context):
                tokenizer.decode(ids, skip_special_tokens=True) for ids in generate_ids
        ]
 
-    return " ".join(pred)  ## returns the predicted string as answer
+    return " ".join(pred)  ## returns the predicted string as answer
+
+```