Update README.md

README.md

@@ -13,6 +13,7 @@ rebel-base-chinese-cndbpedia is a generation-based relation extraction model
   ·input is sentence,and output is linearlize triples,such as input:姚明是一名NBA篮球运动员 output:[subj]姚明[obj]NBA[rel]公司[obj]篮球运动员[rel]职业(more details can read on REBEL paper)
   
 #using model：
+
 '''
 from transformers import BertTokenizer, BartForConditionalGeneration
 
@@ -25,6 +26,7 @@ tokenizer_kwargs = {
 
 tokenizer = BertTokenizer.from_pretrained(model_name, **tokenizer_kwargs)
 
-#using model
+
 model = BartForConditionalGeneration.from_pretrained("fanxiao/rebel-base-chinese-cndbpedia")
+
 '''