Update README.md

README.md

@@ -1,7 +1,9 @@
 # Vietnam Tourism Named Entity Recognition
 We fine-tuned BERT to train Vietnam tourism dataset for a question answering system. The model was called NER2QUES because it detected tourism NER in a sentence. From that, the system generated questions corresponding to NER types.
 # How to use
-You can use the model directly with a pipeline
+## You can use the model directly within local machine
+
+
     from simpletransformers.ner import NERModel, NERArgs
   
     line = "King Garden is located in Thanh Thuy, Phu Tho"
@@ -20,7 +22,11 @@ You can use the model directly with a pipeline
     l.append(line)
     predictions, raw_outputs = model.predict(l)
     print(predictions)
+
+## You can use in Transformers
   
+    
+
 # Authors
 
 1. Phuc Do, University of Information Technology, Ho Chi Minh national university, Vietnam