Update README.md

README.md

@@ -37,9 +37,14 @@ You can use this model directly with a pipeline for translation language modelin
 >>> from transformers import pipeline
 >>> translator = pipeline('translation', model='chunwoolee0/ke_t5_base_bongsoo_en_ko')
 
->>> translator("Let us go for a walk after lunch.")
-[{'translation_text': '점심을 마치고 산책을 하러 가자.'}]
+>>> translator("나는 습관적으로 점심식사 후에 산책을 한다.")
+[{'translation_text': 'I habitually go to walk after lunch'}]
 
+>>> translator("이 강좌는 허깅페이스가 만든 거야.")
+[{'translation_text': 'This class was created by Huggface.'}]
+
+>>> translator("오늘은 늦게 일어났다.")
+[{'translation_text': 'This day, I went late.'}]
 
 ## Training and evaluation data