Update README.md

README.md

@@ -7,7 +7,7 @@ tags:
 
 ---
 
-# {MODEL_NAME}
+# ptbr-similarity-e5-small
 
 This model is a finetuned version of `intfloat/multilingual-e5-small` using the ASSIN2 dataset for similarity score.
 
@@ -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('jmbrito/ptbr-similarity-e5-small')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```