readme: #cross_encoder-msmarco-word2vec256k
  
  This CrossEncoder was trained with MarginMSE loss from the [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://hf.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) 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:  72.49
  - TREC-DL 20:  72.71
  