readme: 
  
  # BERTOverflow
  
  ## Model description
  
  We pre-trained BERT-base model on 152 million sentences from the StackOverflow's 10 year archive. More details of this model can be found in our ACL 2020 paper: [Code and Named Entity Recognition in StackOverflow](https://www.aclweb.org/anthology/2020.acl-main.443/). We would like to thank [Wuwei Lan](https://lanwuwei.github.io/) for helping us in training this model. 
  
  
  
  
  #### How to use
  
  ```python
  from transformers import *
  import torch
  
  tokenizer = AutoTokenizer.from_pretrained("jeniya/BERTOverflow")
  model = AutoModelForTokenClassification.from_pretrained("jeniya/BERTOverflow")
  
  ```
  
  
  
  ### BibTeX entry and citation info
  
  ```bibtex
  @inproceedings{tabassum2020code,
      title={Code and Named Entity Recognition in StackOverflow},
      author={Tabassum, Jeniya  and Maddela, Mounica  and Xu, Wei and Ritter, Alan },
      booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL)},
      url={https://www.aclweb.org/anthology/2020.acl-main.443/}
      year = {2020},
  }
  ```