Update README.md

README.md

@@ -38,10 +38,10 @@ model = T5ForConditionalGeneration.from_pretrained("ThomasNLG/t5-qg_squad1-en")
 
 You can play with the model using the inference API, the text input format should follow this template (accordingly to the training stage of the model):
 
-`text_input = "sv1 </s> {ANSWER} </s> {CONTEXT}"
+`text_input = "sv1 <\/s> {ANSWER} <\/s> {CONTEXT}"
 
 ## Training data
-The model was trained on SQuAD
+The model was trained on SQuAD.
 
 
 ### Citation info