Transformers
PyTorch
code
custom_code
Inference Endpoints
codesage commited on
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Update README.md

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@@ -45,11 +45,11 @@ print(f'Dimension of the embedding: {embedding[0].size()}')
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  ### BibTeX entry and citation info
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  ```
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  @inproceedings{
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- zhang2024codesage,
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- title={CodeSage: Code Representation Learning At Scale},
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- author={Dejiao Zhang* and Wasi Ahmad* and Ming Tan and Hantian Ding and Ramesh Nallapati and Dan Roth and Xiaofei Ma and Bing Xiang},
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- booktitle={The Twelfth International Conference on Learning Representations},
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- year={2024},
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- url={https://openreview.net/forum?id=vfzRRjumpX}
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  }
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  ```
 
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  ### BibTeX entry and citation info
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  ```
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  @inproceedings{
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+ zhang2024code,
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+ title={{CODE} {REPRESENTATION} {LEARNING} {AT} {SCALE}},
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+ author={Dejiao Zhang and Wasi Uddin Ahmad and Ming Tan and Hantian Ding and Ramesh Nallapati and Dan Roth and Xiaofei Ma and Bing Xiang},
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+ booktitle={The Twelfth International Conference on Learning Representations},
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+ year={2024},
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+ url={https://openreview.net/forum?id=vfzRRjumpX}
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  }
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  ```