Update README.md

README.md

@@ -29,7 +29,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('{MODEL_NAME}')
+model = SentenceTransformer('Roberta_finetuning_semantic_similarity_stsb_multi_mt')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```