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README.md
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@@ -158,3 +158,10 @@ embeddings = mean_pool(outputs.last_hidden_state, batch_dict['attention_mask'])
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embeddings = F.normalize(embeddings, p=2, dim=1)
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scores = (embeddings[:2] @ embeddings[2:].T)
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```
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embeddings = F.normalize(embeddings, p=2, dim=1)
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scores = (embeddings[:2] @ embeddings[2:].T)
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```
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## ❓ Frequently Asked Questions
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1. sss
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### Citation
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If you find our work worth citing, please use the following citation:
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Our tp is coming soon...
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