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README.md
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query_embeddings = model(**query_tokens)[0][:, 0]
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document_embeddings = model(**document_tokens)[0][:, 0]
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# normalize embeddings
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query_embeddings = torch.nn.functional.normalize(query_embeddings, p=2, dim=1)
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document_embeddings = torch.nn.functional.normalize(document_embeddings, p=2, dim=1)
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## Acknowledgement
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The authors would like to acknowledge the valuable contributions of the Risk Management team at TD Bank for their expertise in regulatory frameworks, financial risk assessment, and compliance practices, which were instrumental in the
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query_embeddings = model(**query_tokens)[0][:, 0]
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document_embeddings = model(**document_tokens)[0][:, 0]
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# normalize embeddings
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query_embeddings = torch.nn.functional.normalize(query_embeddings, p=2, dim=1)
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document_embeddings = torch.nn.functional.normalize(document_embeddings, p=2, dim=1)
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## Acknowledgement
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The authors would like to acknowledge the valuable contributions of the Risk Management team at TD Bank for their expertise in regulatory frameworks, financial risk assessment, and compliance practices, which were instrumental in the finetuning of RiskEmbed.
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