Text Classification
Transformers
Safetensors
roberta
devign
defect detection
code
Eval Results (legacy)
text-embeddings-inference
Instructions to use claudios/VulBERTa-MLP-Devign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/VulBERTa-MLP-Devign with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="claudios/VulBERTa-MLP-Devign")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("claudios/VulBERTa-MLP-Devign") model = AutoModelForSequenceClassification.from_pretrained("claudios/VulBERTa-MLP-Devign") - Notebooks
- Google Colab
- Kaggle
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# VulBERTa MLP Devign
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# VulBERTa MLP Devign
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## VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
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