codefuse-ai
/

F2LLM-v2-80M

Feature Extraction

sentence-transformers

text-embeddings-inference

Model card Files Files and versions

Geralt-Targaryen commited on 1 day ago

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@@ -127,7 +127,7 @@ print(query_embedding.shape, document_embeddings.shape)
 # Compute cosine similarity between the query and documents
 similarity = model.similarity(query_embedding, document_embeddings)
 print(similarity)
-# tensor([[0.4943, 0.6311, 0.5591, 0.6962]])
 ```
 ### With Transformers

 # Compute cosine similarity between the query and documents
 similarity = model.similarity(query_embedding, document_embeddings)
 print(similarity)
+# tensor([[0.6968, 0.7818, 0.7165, 0.8374]])
 ```
 ### With Transformers