Edit model card
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

CodeBERT-base

Pretrained weights for CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Training Data

The model is trained on bi-modal data (documents & code) of CodeSearchNet

Training Objective

This model is initialized with Roberta-base and trained with MLM+RTD objective (cf. the paper).

Usage

Please see the official repository for scripts that support "code search" and "code-to-document generation".

Reference

  1. CodeBERT trained with Masked LM objective (suitable for code completion)
  2. πŸ€— Hugging Face's CodeBERTa (small size, 6 layers)

Citation

@misc{feng2020codebert,
    title={CodeBERT: A Pre-Trained Model for Programming and Natural Languages},
    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},
    year={2020},
    eprint={2002.08155},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
Downloads last month
1,237,944
Inference API

Model tree for microsoft/codebert-base

Adapters
1 model
Finetunes
25 models
Merges
1 model

Spaces using microsoft/codebert-base 19