Update README.md

README.md

@@ -14,10 +14,8 @@ model created by [sentence-tansformers](https://www.sbert.net/index.html)，mode
 
 ### Usage
 ```python
->>> from transformers import AutoTokenizer, AutoModel
->>> model = AutoModel.from_pretrained("tuhailong/simcse_model")
->>> tokenizer = AutoTokenizer.from_pretrained("tuhailong/simcse_model")
->>> sentences_str_list = ["今天天气不错的","天气不错的"]
->>> inputs = tokenizer(sentences_str_list,return_tensors="pt", padding='max_length', truncation=True, max_length=32)
->>> outputs = model(**inputs)
+>>> from sentence_transformers.cross_encoder import CrossEncoder
+>>> model = CrossEncoder('tuhailong/cross-encoder')
+>>> scores = model.predict([["今天天气不错", "今天心情不错"]])
+>>> print(scores)
 ```