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# 🔥 AugCode 🔥
This is Augmented Code Model which is a fined-tune model of [CodeBERT](https://huggingface.co/microsoft/codebert-base) for processing of similarity between given docstring and code. This model is fined-model based on Augmented Code Corpus with ACS=4.
## How to use the model ?
Similar to other huggingface model, you may load the model as follows.
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Fujitsu/AugCode")
model = AutoModelForSequenceClassification.from_pretrained("Fujitsu/AugCode")
```
Then you may use `model` to infer the similarity between a given docstring and code.
### Citation
```bibtex@misc{bahrami2021augcode,
title={AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models},
author={Mehdi Bahramix, N. C. Shrikanthy, Yuji Mizobuchiz, Lei Liux, Masahiro Fukuyoriz, Wei-Peng Chenx, Kazuki Munakataz},
year={2021},
eprint={TBA},
archivePrefix={TBA},
primaryClass={cs.CL}
}
``` |