Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: mit
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datasets:
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- DaniilOr/SemEval-2026-Task13
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metrics:
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- accuracy
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- f1
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**Restrictions**
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- **No external training data**: Use only the provided datasets.
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- **No specialized AI-generated code detectors**: General-purpose code models (e.g., CodeBERT, StarCoder) are allowed.
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---
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license: mit
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metrics:
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- accuracy
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- f1
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**Restrictions**
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- **No external training data**: Use only the provided datasets.
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- **No specialized AI-generated code detectors**: General-purpose code models (e.g., CodeBERT, StarCoder) are allowed.
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