Text Classification
Transformers
Safetensors
code
roberta
code-classification
vulnerability-detection
automatic-vulnerability-detection
secure-coding
text-embeddings-inference
Instructions to use jacpacd/vuln-detector-codebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacpacd/vuln-detector-codebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jacpacd/vuln-detector-codebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jacpacd/vuln-detector-codebert") model = AutoModelForSequenceClassification.from_pretrained("jacpacd/vuln-detector-codebert") - Notebooks
- Google Colab
- Kaggle
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# Vulnerability Detector for C Code (SARD)
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This model is a fine-tuned version of `microsoft/codebert-base` designed to detect vulnerabilities in C source code functions.
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## Model Description
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# Vulnerability Detector for C Code (SARD)
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This model is a fine-tuned version of `microsoft/codebert-base` designed to detect vulnerabilities in C source code functions.
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## Model Description
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