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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metrics:
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- accuracy
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- AI-generated
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- transformers
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- bert
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## Task Overview
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**Restrictions:**
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- No external training data may be used; only the provided datasets are allowed.
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- Specialized AI-generated code detectors are not permitted. 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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- AI-generated
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- transformers
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- bert
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```
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## Task Overview
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**Restrictions:**
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- No external training data may be used; only the provided datasets are allowed.
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- Specialized AI-generated code detectors are not permitted. General-purpose code models (e.g., CodeBERT, StarCoder) are allowed.
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