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README.md

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-license: apache-2.0
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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