Update README.md

README.md

@@ -81,7 +81,7 @@ result_service = classifier("这部手机的性能差劲", text_pair="性能")
 result_service = classifier("这台汽车的引擎推力强劲", text_pair="引擎")
 ```
 
-## Using PyABSA for End-to-End Analysis
+## Using PyABSA or [Transformers](end2end_absa.py) for End-to-End Analysis
 For a more powerful, end-to-end solution that handles both aspect term extraction and sentiment classification in a single call, you can use the PyABSA library. This is the very framework used to train and optimize this model.
 
 First, install PyABSA: