Update README.md

README.md

@@ -68,10 +68,10 @@ model = AutoModelForSequenceClassification.from_pretrained(Pre-trained)
 ### make classification
 ```python
 pretrained_name = "hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier"
-class_model = pipeline(tokenizer=pretrained_name, model=pretrained_name)
+sentimen = pipeline(tokenizer=pretrained_name, model=pretrained_name)
 
-test_data = "buku ini jelek sekali"
-class_model(test_data)
+kalimat = "buku ini jelek sekali"
+sentimen(kalimat)
 ```
 output: [{'label': 'negative', 'score': 0.9996247291564941}]