update readme

README.md

@@ -53,7 +53,7 @@ Then you can use the model like this:
 ```python
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
-model = SentenceTransformer('sentence-transformers/sentence-t5-base')
+model = SentenceTransformer('utrobinmv/t5_translate_en_ru_zh_base_200_sent')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```