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---
language: code
datasets:
- code_search_net
---
# CoText (2-CC)
## Introduction
Paper: [CoTexT: Multi-task Learning with Code-Text Transformer](https://aclanthology.org/2021.nlp4prog-1.5.pdf)
Authors: _Long Phan, Hieu Tran, Daniel Le, Hieu Nguyen, James Anibal, Alec Peltekian, Yanfang Ye_
## How to use
Supported languages:
```shell
"go"
"java"
"javascript"
"php"
"python"
"ruby"
```
For more details, do check out [our Github repo](https://github.com/justinphan3110/CoTexT).
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("razent/cotext-2-cc")
model = AutoModelForSeq2SeqLM.from_pretrained("razent/cotext-2-cc")
sentence = "def add(a, b): return a + b"
text = "python: " + sentence + " </s>"
encoding = tokenizer.encode_plus(text, pad_to_max_length=True, return_tensors="pt")
input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda")
outputs = model.generate(
input_ids=input_ids, attention_mask=attention_masks,
max_length=256,
early_stopping=True
)
for output in outputs:
line = tokenizer.decode(output, skip_special_tokens=True, clean_up_tokenization_spaces=True)
print(line)
```
## Citation
```
@inproceedings{phan-etal-2021-cotext,
title = "{C}o{T}ex{T}: Multi-task Learning with Code-Text Transformer",
author = "Phan, Long and
Tran, Hieu and
Le, Daniel and
Nguyen, Hieu and
Annibal, James and
Peltekian, Alec and
Ye, Yanfang",
booktitle = "Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.nlp4prog-1.5",
doi = "10.18653/v1/2021.nlp4prog-1.5",
pages = "40--47"
}
``` |