readme: #cross_encoder-msmarco-distilbert-word2vec256k-MLM_400k
  
  This CrossEncoder was trained with MarginMSE loss from the [vocab-transformers/msmarco-distilbert-word2vec256k-MLM_400k](https://hf.co/vocab-transformers/msmarco-distilbert-word2vec256k-MLM_400k) checkpoint. **Word embedding matrix has been frozen during training**.
  
  You can load the model with [sentence-transformers](https://sbert.net):
  ```python
  from sentence_transformers import CrossEncoder
  from torch import nn
  model = CrossEncoder(model_name, default_activation_function=nn.Identity())
  ```
  
  Performance on TREC Deep Learning (nDCG@10):
  - TREC-DL 19: 72.62
  - TREC-DL 20: 73.22
  
  