Polycoder 160M

🚀 PolyCoder Model

This is a PolyCoder model with 160M parameters. It was presented in the paper "A Systematic Evaluation of Large Language Models of Code" (MAPS'2022 and ICLR'2022 Workshop Deep Learning 4 Code). This model aims to provide high - quality code - related language processing capabilities, trained on a large - scale code dataset.

🚀 Quick Start

Installation

Note - this model requires transformers version of at least 4.23.0. You can install it using the following command:

pip install transformers==4.23.0

More Information

For more information, see: https://github.com/VHellendoorn/Code-LMs

📚 Documentation

Model Information

Citation

If you use this model, please cite:

@inproceedings{
  xu2022polycoder,
  title={A Systematic Evaluation of Large Language Models of Code},
  author={Frank F. Xu and Uri Alon and Graham Neubig and Vincent Josua Hellendoorn},
  booktitle={Deep Learning for Code Workshop},
  year={2022},
  url={https://openreview.net/forum?id=SLcEnoObJZq}
}

⚠️ Important Note

This model requires transformers version of at least 4.23.0.

💡 Usage Tip

Refer to the official documentation https://github.com/VHellendoorn/Code-LMs for more detailed usage information.