| # Blaze (Finetuned Variant) |
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| This model is a finetuned version of the **BLAZE** model described in the paper: |
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| **_BLAZE: Cross‑Language and Cross‑Project Bug Localization via Dynamic Chunking and Hard Example Learning_** |
| DOI: [10.5281/zenodo.15122980](https://doi.org/10.5281/zenodo.15122980) :contentReference[oaicite:1]{index=1} |
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| ## 📘 What’s Inside |
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| A Transformer-based bug localization model fine-tuned on additional cross-project datasets to enhance its ability to pinpoint bugs in unseen codebases. |
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| ## 🧪 Fine-tuning Details |
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| - **Starting point:** Pretrained Blaze model from Zenodo. |
| - **Enhancements:** Further trained on a curated dataset using dynamic chunking and hard-negative sampling — all detailed in the original manuscript and accompanying code release. |
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| ## 🔍 Intended Usage |
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| - **Primary task:** Automatic identification of buggy code segments across languages and projects. |
| - **How to use:** Load the model and feed it code snippets to receive localized bug predictions. |
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| ## 📄 Citation |
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| If you use this model, please cite: |
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| > _BLAZE: Cross‑Language and Cross‑Project Bug Localization via Dynamic Chunking and Hard Example Learning_, available at DOI: 10.5281/zenodo.15122980 :contentReference[oaicite:2]{index=2} |
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| ## 📁 Contents of This Repo |
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| - `config.json` |
| - `pytorch_model.bin` (or `tf_model.h5`) |
| - `tokenizer.json` (if applicable) |
| - `README.md` |
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| ## 🛠️ Setup |
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| ```bash |
| pip install transformers huggingface_hub |
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