Update README.md

README.md

@@ -7,9 +7,9 @@ tags:
 
 ---
 
-# {MODEL_NAME}
+# sentence-BERTino-3-64
 
-This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 64 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+This is a distilled [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 64 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
 <!--- Describe your model here -->
 
@@ -27,7 +27,7 @@ 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('efederici/sentence-BERTino-3-64')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```