Text Classification
Transformers
Safetensors
multi_task_unixcoder
feature-extraction
Code
Vulnerability
Detection
custom_code
Instructions to use mahdin70/UnixCoder-Primevul-BigVul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahdin70/UnixCoder-Primevul-BigVul with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahdin70/UnixCoder-Primevul-BigVul", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mahdin70/UnixCoder-Primevul-BigVul", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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license: mit
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license: mit
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datasets:
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- mahdin70/balanced_merged_bigvul_primevul
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base_model:
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- microsoft/unixcoder-base
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tags:
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- Code
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- Vulnerability
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- Detection
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