neulab / codebert-cpp

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Introduction of codebert-cpp

Model Details of codebert-cpp

This is a microsoft/codebert-base-mlm model, trained for 1,000,000 steps (with batch_size=32 ) on C++ code from the codeparrot/github-code-clean dataset, on the masked-language-modeling task.

It is intended to be used in CodeBERTScore: https://github.com/neulab/code-bert-score , but can be used for any other model or task.

For more information, see: https://github.com/neulab/code-bert-score

Citation

If you use this model for research, please cite:

@article{zhou2023codebertscore,
  url = {https://arxiv.org/abs/2302.05527},
  author = {Zhou, Shuyan and Alon, Uri and Agarwal, Sumit and Neubig, Graham},
  title = {CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code},  
  publisher = {arXiv},
  year = {2023},
}

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codebert-cpp huggingface.co

codebert-cpp huggingface.co is an AI model on huggingface.co that provides codebert-cpp's model effect (), which can be used instantly with this neulab codebert-cpp model. huggingface.co supports a free trial of the codebert-cpp model, and also provides paid use of the codebert-cpp. Support call codebert-cpp model through api, including Node.js, Python, http.

codebert-cpp huggingface.co Url

https://huggingface.co/neulab/codebert-cpp

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neulab codebert-cpp online free url in huggingface.co:

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codebert-cpp install

codebert-cpp is an open source model from GitHub that offers a free installation service, and any user can find codebert-cpp on GitHub to install. At the same time, huggingface.co provides the effect of codebert-cpp install, users can directly use codebert-cpp installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/neulab/codebert-cpp

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