fix tokenizer load issue when rerun the example

add `tokenizer.save_pretrained(MODEL)` right under the model's save_pretrained

README.md

@@ -62,6 +62,8 @@ labels = [row[1] for row in csvreader if len(row) > 1]
 model = AutoModelForSequenceClassification.from_pretrained(MODEL)
 model.save_pretrained(MODEL)
 
+tokenizer.save_pretrained(MODEL)
+
 text = "Good night 😊"
 text = preprocess(text)
 encoded_input = tokenizer(text, return_tensors='pt')