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Qwen2-7B-Instruct-embed-base

Text Classification

sentence-transformers

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ssmits commited on Jun 8

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17a1f10

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1 Parent(s): 3876ca7

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@@ -50,7 +50,6 @@ embeddings_tensor = torch.tensor(embeddings)
 similarities = torch.nn.functional.cosine_similarity(embeddings_tensor.unsqueeze(0), embeddings_tensor.unsqueeze(1), dim=2)
 print(similarities)
-# tensor([[1.0000, 0.8735, 0.7051],
-#         [0.8735, 1.0000, 0.7199],
-#         [0.7051, 0.7199, 1.0000]])
-```

 similarities = torch.nn.functional.cosine_similarity(embeddings_tensor.unsqueeze(0), embeddings_tensor.unsqueeze(1), dim=2)
 print(similarities)
+# tensor([[1.0000, 0.8608, 0.6609],
+#         [0.8608, 1.0000, 0.7046],
+#         [0.6609, 0.7046, 1.0000]])```