---
license: apache-2.0
library_name: transformers
pipeline_tag: text-classification
tags:
- quantum-computing
- quantum-software-engineering
- code-classification
- codebert
- c2q
---

# C2|Q> Parser Model

This repository contains the released parser model checkpoint for the paper:

**C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development**  
TOSEM 2026  
DOI: [10.1145/3803018](https://doi.org/10.1145/3803018)

## Purpose

This model is the released inference checkpoint used in the C2|Q> framework to classify supported problem families from classical Python code inputs.

It is part of the encoder stage of the framework and supports the Python-code route of the artifact.

## Source Project

- GitHub: [C2-Q/C2Q](https://github.com/C2-Q/C2Q)
- Paper: [10.1145/3803018](https://doi.org/10.1145/3803018)

## Archival Record

The archival copy of this model is preserved on Zenodo:

- Zenodo DOI: [10.5281/zenodo.19061126](https://doi.org/10.5281/zenodo.19061126)

Hugging Face is provided for discoverability and easier community access. Zenodo remains the archival source.

## Files

This repository contains a released model checkpoint compatible with the `transformers` ecosystem, including configuration, tokenizer files, and model weights.

## Intended Use

- artifact inspection
- local inference
- parser-backed execution in C2|Q>

## Limitations

- this is a released checkpoint, not a full retraining package
- full parser training provenance remains in the project repository and associated artifact materials
- current artifact support is documented around Python 3.12

## License

Apache-2.0