Instructions to use neuralsentry/vulnerabilityDetection-StarEncoder-Devign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralsentry/vulnerabilityDetection-StarEncoder-Devign with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralsentry/vulnerabilityDetection-StarEncoder-Devign")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neuralsentry/vulnerabilityDetection-StarEncoder-Devign") model = AutoModelForSequenceClassification.from_pretrained("neuralsentry/vulnerabilityDetection-StarEncoder-Devign") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c672a6798507598b0005ef15b7f11300d5f73f8b7a5f6de92bdeb1bcf6354837
- Size of remote file:
- 497 MB
- SHA256:
- 8bfb315d4e46e99f62017377275666b1f54126e99069ce9d9ac6644703a9aac4
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