Update README.md

README.md

@@ -14,7 +14,11 @@ print(embedding)
 
 
 # tiny_64_all-MiniLM-L6-v2
-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 [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.
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+This gives it faster similarity comparison time although inference time will remain about the same.
 
 This model was made using knowledge distillation techniques on the original 384 dimensional all-MiniLM-L6-v2 model.