Update README.md

README.md

@@ -117,7 +117,7 @@ model = AutoModelForSequenceClassification.from_pretrained(
 )
 model.eval()
 
-pairs = [["中国的首都在哪儿"，"北京"], ["what is the capital of China?", "北京"], ["how to implement quick sort in python?","Introduction of quick sort"]]
+pairs = [["中国的首都在哪儿","北京"], ["what is the capital of China?", "北京"], ["how to implement quick sort in python?","Introduction of quick sort"]]
 with torch.no_grad():
     inputs = tokenizer(pairs, padding=True, truncation=True, return_tensors='pt', max_length=512)
     scores = model(**inputs, return_dict=True).logits.view(-1, ).float()