update

README.md

@@ -18,7 +18,6 @@ This model is trained from a dataset of 10,000 review data on Tokopedia and Shop
 ### How to use
 You can use this model with the following steps:
 ```python
->>> from transformers import pipeline
 >>> from transformers import AutoModelForSequenceClassification, AutoTokenizer
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
@@ -32,5 +31,7 @@ outputs = model(**inputs)
 logits = outputs.logits
 predicted_class = logits.argmax(dim=-1).item()
 
-print(f"Predicted class: {predicted_class}")
+sentiment = "Negative" if predicted_class == 0 else "Positive"
+
+print(f"Predicted class: {predicted_class} - Sentimen: {sentiment}")
 ```