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README.md
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@@ -36,4 +36,6 @@ with torch.no_grad():
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# normalize embeddings
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sentence_embeddings = torch.nn.functional.normalize(sentence_embeddings, p=2, dim=1)
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print("Sentence embeddings:", sentence_embeddings)
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```
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# normalize embeddings
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sentence_embeddings = torch.nn.functional.normalize(sentence_embeddings, p=2, dim=1)
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print("Sentence embeddings:", sentence_embeddings)
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```
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###Evaluation
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<img src="slerp.png" alt="109M models retrieval benchmarks" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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