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This is a personal reproduction of the Repoformer-3B model in this paper. This model is trained on ~300k Python chunk and function completion instances created from the Stack.

You can follow the instructions here to use the model.

If you find this useful, please cite:

@inproceedings{DBLP:conf/icml/0054AZR024,
  author       = {Di Wu and
                  Wasi Uddin Ahmad and
                  Dejiao Zhang and
                  Murali Krishna Ramanathan and
                  Xiaofei Ma},
  title        = {Repoformer: Selective Retrieval for Repository-Level Code Completion},
  booktitle    = {Forty-first International Conference on Machine Learning, {ICML} 2024,
                  Vienna, Austria, July 21-27, 2024},
  publisher    = {OpenReview.net},
  year         = {2024},
  url          = {https://openreview.net/forum?id=moyG54Okrj},
  timestamp    = {Mon, 02 Sep 2024 16:55:25 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/0054AZR024.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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