Instructions to use sumitp76/codeberta-vuln-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumitp76/codeberta-vuln-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sumitp76/codeberta-vuln-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sumitp76/codeberta-vuln-detector") model = AutoModelForSequenceClassification.from_pretrained("sumitp76/codeberta-vuln-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 288fc2546c04000894cf64368adab5d7e0f8f2e30f854ba9764b6428b03664c1
- Size of remote file:
- 334 MB
- SHA256:
- d4b8eae17ce84c2f1a4da6daf9616e353efa71bdea8ef634ad952d65f9da900f
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