Update README.md

README.md

@@ -11,19 +11,19 @@ rebel-base-chinese-cndbpedia is a generation-based relation extraction model
   ·easy to use,just like normal generation task.
   
   ·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：
 
 
+using model：
+
 from transformers import BertTokenizer, BartForConditionalGeneration
 
 model_name = 'fnlp/bart-base-chinese'
-'''
+
 tokenizer_kwargs = {
     "use_fast": True,
     "additional_special_tokens": ['<rel>', '<obj>', '<subj>'],
 }
-'''
+
 tokenizer = BertTokenizer.from_pretrained(model_name, **tokenizer_kwargs)