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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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  from transformers import *
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  import torch
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- tokenizer = AutoTokenizer.from_pretrained("jeniya/BERTOverflow")
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- model = AutoModelForTokenClassification.from_pretrained("jeniya/BERTOverflow")
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  ```
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@@ -32,4 +32,4 @@ model = AutoModelForTokenClassification.from_pretrained("jeniya/BERTOverflow")
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  url={https://www.aclweb.org/anthology/2020.acl-main.443/}
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  year = {2020},
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  }
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- ```
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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/).
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  from transformers import *
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  import torch
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+ tokenizer = AutoTokenizer.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github")
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+ model = AutoModelForTokenClassification.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github")
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  ```
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  url={https://www.aclweb.org/anthology/2020.acl-main.443/}
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  year = {2020},
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  }
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+ ```