Update README.md

README.md

@@ -3,7 +3,7 @@
 ```python
 from sentence_transformers import SentenceTransformer
 
-model = SentenceTransformer("ClovenDoug/small_64_all-MiniLM-L6-v2")
+model = SentenceTransformer("ClovenDoug/tiny_64_all-MiniLM-L6-v2")
 
 sentence_one = "I like cats"
 
@@ -13,7 +13,7 @@ print(embedding)
 
 
 
-# small_64_all-MiniLM-L6-v2
+# 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 model was made using knowledge distillation techniques on the original 384 dimensional all-MiniLM-L6-v2 model.