Update README.md

README.md

@@ -15,6 +15,8 @@ library_name: transformers
 safetensors: true
 ---
 
+### sentiment_mapping = {1: "Negative", 0: "Positive"}
+
 ### Training Details
 The model was trained on the McAuley-Lab/Amazon-Reviews-2023 dataset. This dataset contains labeled customer reviews from Amazon, focusing on two primary categories: Positive and Negative.
 
@@ -37,4 +39,11 @@ Precision: 0.98
 
 Recall: 0.99
 
-F1-Score: 0.98
+F1-Score: 0.98
+
+```python
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="dnzblgn/Sentiment-Analysis-Customer-Reviews")
+result = classifier("The product didn't arrive on time and was damaged.")
+print(result)