sberbank-ai
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Update README.md
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README.md
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@@ -36,4 +36,9 @@ with torch.no_grad():
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model_output = model(**encoded_input)
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#Perform pooling. In this case, mean pooling
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sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
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```
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model_output = model(**encoded_input)
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#Perform pooling. In this case, mean pooling
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sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
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```
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# Authors
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+ [SberDevices](https://sberdevices.ru/) Team.
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+ Aleksandr Abramov: [Github](https://github.com/Ab1992ao), [Kaggle Competitions Master](https://www.kaggle.com/andrilko);
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+ Denis Antykhov: [Github](https://github.com/gaphex);
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