Update README.md

README.md

@@ -27,7 +27,13 @@ It achieves the following results on the evaluation set:
 
 ## 模型的使用
 
-```python
+from transformers import AutoTokenizer, AutoModelForMultipleChoice
+from typing import Any
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained('roberthsu2003/for_multiple_choice')
+model = AutoModelForMultipleChoice.from_pretrained('roberthsu2003/for_multiple_choice')
+
 from typing import Any
 import torch
 
@@ -60,8 +66,9 @@ class MultipleChoicePipeline:
 
 if __name__ == "__main__":
   pipe = MultipleChoicePipeline(model, tokenizer)
-  result1 = pipe("國堂在台北上班","國堂在哪裏上班?",['台北','台中'])
+  result1 = pipe("男：你今天晚上有時間嗎?我們一起去看電影吧? 女：你喜歡恐怖片和愛情片，但是我喜歡喜劇片","女的最喜歡哪種電影?",["恐怖片","愛情片","喜劇片","科幻片"])
   print(result1)
+
 ```
 
 ## Intended uses & limitations