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@@ -74,3 +74,7 @@ sentence_embeddings = F.normalize(sentence_embeddings, p=2, dim=1)
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  print("Sentence embeddings:")
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  print(sentence_embeddings)
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  ```
 
 
 
 
 
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  print("Sentence embeddings:")
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  print(sentence_embeddings)
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  ```
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+
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+ ## License
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+ My own contributions for this dataset are covered by the MIT license.
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+ However, given the data used to train this model orginates from UMLS, so you need to ensure you have proper licensing of UMLS before using this model. UMLS is free of charge in most countries, but you might have to create an account and report on your usage of the data yearly to keep a valid license.