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Update README.md

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@@ -28,7 +28,7 @@ Then you can use the model like this:
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  from sentence_transformers import SentenceTransformer
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  sentences = ["This is an example sentence", "Each sentence is converted"]
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- model = SentenceTransformer('S-PubMedBert-MedQuAD')
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  embeddings = model.encode(sentences)
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  print(embeddings)
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  ```
 
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  from sentence_transformers import SentenceTransformer
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  sentences = ["This is an example sentence", "Each sentence is converted"]
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+ model = SentenceTransformer('TimKond/S-PubMedBert-MedQuAD')
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  embeddings = model.encode(sentences)
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  print(embeddings)
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  ```