DiTy
/

cross-encoder-russian-msmarco

Text Classification

sentence-transformers

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DiTy commited on May 2

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@@ -70,7 +70,7 @@ print(rank_result)
 Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
 ```python
-# import torch
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 model = AutoModelForSequenceClassification.from_pretrained('DiTy/cross-encoder-russian-msmarco')

 Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
 ```python
+import torch
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 model = AutoModelForSequenceClassification.from_pretrained('DiTy/cross-encoder-russian-msmarco')