| --- |
| 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 |
|
|
