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--- |
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license: mit |
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language: |
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- code |
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datasets: |
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- code_search_net |
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--- |
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This is an *unofficial* reupload of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) in the `SafeTensors` format using `transformers` `4.40.1`. The goal of this reupload is to prevent older models that are still relevant baselines from becoming stale as a result of changes in HuggingFace. Additionally, I may include minor corrections, such as model max length configuration. |
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Original model card below: |
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--- |
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## CodeBERT-base |
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Pretrained weights for [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://arxiv.org/abs/2002.08155). |
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### Training Data |
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The model is trained on bi-modal data (documents & code) of [CodeSearchNet](https://github.com/github/CodeSearchNet) |
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### Training Objective |
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This model is initialized with Roberta-base and trained with MLM+RTD objective (cf. the paper). |
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### Usage |
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Please see [the official repository](https://github.com/microsoft/CodeBERT) for scripts that support "code search" and "code-to-document generation". |
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### Reference |
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1. [CodeBERT trained with Masked LM objective](https://huggingface.co/microsoft/codebert-base-mlm) (suitable for code completion) |
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2. 🤗 [Hugging Face's CodeBERTa](https://huggingface.co/huggingface/CodeBERTa-small-v1) (small size, 6 layers) |
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### Citation |
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```bibtex |
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@misc{feng2020codebert, |
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title={CodeBERT: A Pre-Trained Model for Programming and Natural Languages}, |
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author={Zhangyin Feng and Daya Guo and Duyu Tang and Nan Duan and Xiaocheng Feng and Ming Gong and Linjun Shou and Bing Qin and Ting Liu and Daxin Jiang and Ming Zhou}, |
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year={2020}, |
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eprint={2002.08155}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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