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Update README.md

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@@ -134,7 +134,7 @@ query = ["Bidirectional transformers"]
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  query_embedding = embed_input(query)
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  #load the proximity adapter, provide an identifier for the adapter in load_as argument and activate it
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- model.load_adapter("allenai/specter2_proximity", source="hf", load_as="specter2", set_active=True)
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  papers = [{'title': 'BERT', 'abstract': 'We introduce a new language representation model called BERT'},
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  {'title': 'Attention is all you need', 'abstract': ' The dominant sequence transduction models are based on complex recurrent or convolutional neural networks'}]
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  # concatenate title and abstract
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  query_embedding = embed_input(query)
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  #load the proximity adapter, provide an identifier for the adapter in load_as argument and activate it
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+ model.load_adapter("allenai/specter2", source="hf", load_as="specter2_proximity", set_active=True)
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  papers = [{'title': 'BERT', 'abstract': 'We introduce a new language representation model called BERT'},
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  {'title': 'Attention is all you need', 'abstract': ' The dominant sequence transduction models are based on complex recurrent or convolutional neural networks'}]
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  # concatenate title and abstract