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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
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