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
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
- Paper: 10.1145/3803018
Archival Record
The archival copy of this model is preserved on Zenodo:
- Zenodo DOI: 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