Update README.md

README.md

@@ -16,7 +16,10 @@ print(embedding)
 # small_128_all-MiniLM-L6-v2
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 128 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
-This model was made using knowledge distillation techniques on the original 384 dimensional all-MiniLM-L6-v2 model. 
+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.
+
 
 The script for distilling this model into various sizes can be found here: