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sbert_large_nlu_ru

Feature Extraction
Transformers
PyTorch
Safetensors
Russian
bert
PyTorch
Transformers
text-embeddings-inference
Inference Endpoints
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@@ -46,7 +46,7 @@ with torch.no_grad():
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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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- + by Denis Antykhov: [Github](https://github.com/gaphex);
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- + and Aleksandr Abramov: [Github](https://github.com/Ab1992ao), [Kaggle Competitions Master](https://www.kaggle.com/andrilko)
 
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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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+
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  # Authors
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  + [SberDevices](https://sberdevices.ru/) Team.
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+ + by Denis Antykhov: [Github](https://github.com/gaphex) and Aleksandr Abramov: [Github](https://github.com/Ab1992ao), [Kaggle Competitions Master](https://www.kaggle.com/andrilko)