Update README.md

README.md

@@ -148,8 +148,8 @@ You can try the model with the Colab [Notebook](https://colab.research.google.co
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch, string, random
 
-tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-base")
-model = AutoModelForSequenceClassification.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-base")
+tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-XLM-R")
+model = AutoModelForSequenceClassification.from_pretrained("DAMO-NLP-SG/zero-shot-classify-SSTuning-XLM-R")
 
 text = "I love this place! The food is always so fresh and delicious."
 list_label = ["negative", "positive"]