Add new SentenceTransformer model

README.md

@@ -67,8 +67,10 @@ print(embeddings.shape)
 
 # Get the similarity scores for the embeddings
 similarities = model.similarity(embeddings, embeddings)
-print(similarities.shape)
-# [3, 3]
+print(similarities)
+# tensor([[1.0000, 0.8151, 0.4302],
+#         [0.8151, 1.0000, 0.4153],
+#         [0.4302, 0.4153, 1.0000]])
 ```
 
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entity_embeddings.npy

@@ -1,3 +1,3 @@
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-size 11126965376
+oid sha256:55f844a4e6f8abbaffa2f05a8a3ae8f0e6078ee603caba93b4f5c8f0481420f9
+size 14835953792