Instructions to use mahdin70/codebert-devign-code-vulnerability-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahdin70/codebert-devign-code-vulnerability-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahdin70/codebert-devign-code-vulnerability-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahdin70/codebert-devign-code-vulnerability-detector") model = AutoModelForSequenceClassification.from_pretrained("mahdin70/codebert-devign-code-vulnerability-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dd846ebca2d2bbe4abec1e52b7a4529d661c7b78e5778c1518979fbc1e1eae0
- Size of remote file:
- 499 MB
- SHA256:
- fa42e9929b9f7029ecfb0a3a5229e0aa7acc4b67dd2d5877eecf020475b2cd3f
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