Text Classification
Transformers
Safetensors
roberta
vuldeepecker
defect detection
code
text-embeddings-inference
Instructions to use claudios/VulBERTa-MLP-VulDeePecker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/VulBERTa-MLP-VulDeePecker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="claudios/VulBERTa-MLP-VulDeePecker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("claudios/VulBERTa-MLP-VulDeePecker") model = AutoModelForSequenceClassification.from_pretrained("claudios/VulBERTa-MLP-VulDeePecker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 27 Bytes
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"pad_token": "<pad>"
}
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