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@@ -95,4 +95,13 @@ with torch.no_grad():
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  # Perform pooling. In this case, max pooling.
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  sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
 
 
 
 
 
 
 
 
 
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  ```
 
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  # Perform pooling. In this case, max pooling.
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  sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
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+ ```
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+
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+ ## Citation information
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+ ```
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+ @InProceedings{mfaq_a_multilingual_dataset,
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+ title={MFAQ: a Multilingual FAQ Dataset},
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+ author={Maxime {De Bruyn} and Ehsan Lotfi and Jeska Buhmann and Walter Daelemans},
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+ year={2021}
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+ }
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  ```