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| # BERTOverflow |
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| ## Model description |
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| 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. |
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| #### How to use |
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| ```python |
| from transformers import * |
| import torch |
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| tokenizer = AutoTokenizer.from_pretrained("jeniya/BERTOverflow") |
| model = AutoModelForTokenClassification.from_pretrained("jeniya/BERTOverflow") |
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| ``` |
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| ### BibTeX entry and citation info |
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| ```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}, |
| } |
| ``` |
