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+# 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},
+}
+```