Update README.md

README.md

@@ -27,9 +27,20 @@ It achieves the following results on the evaluation set:
 - Accuracy: 0.9189
 - F1: 0.9415
 
-## Model description
+## 模型實作
 
-More information needed
+```python
+from transformers import pipeline
+
+id2_label = {'LABEL_0':"負評",'LABEL_1':"正評"}
+pipe = pipeline('text-classification', model="roberthsu2003/for_classification")
+
+sen="服務人員都很親切"
+print(sen,id2_label[pipe(sen)[0]['label']])
+
+sen1="服務人員都不親切"
+print(sen1,id2_label[pipe(sen1)[0]['label']])
+```
 
 ## Intended uses & limitations