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opensearch-neural-sparse-encoding-doc-v2-distill

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zhichao-geng commited on Jul 18, 2024

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@@ -110,7 +110,7 @@ document_sparse_vector = get_sparse_vector(feature_document, output)
 # get similarity score
 sim_score = torch.matmul(query_sparse_vector[0],document_sparse_vector[0])
-print(sim_score)   # tensor(12.8465, grad_fn=<DotBackward0>)
 query_token_weight = transform_sparse_vector_to_dict(query_sparse_vector)[0]

 # get similarity score
 sim_score = torch.matmul(query_sparse_vector[0],document_sparse_vector[0])
+print(sim_score)   # tensor(17.5307, grad_fn=<DotBackward0>)
 query_token_weight = transform_sparse_vector_to_dict(query_sparse_vector)[0]