Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use RayenLLM/Vulnerability_Detection_Using_CodeBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RayenLLM/Vulnerability_Detection_Using_CodeBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RayenLLM/Vulnerability_Detection_Using_CodeBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RayenLLM/Vulnerability_Detection_Using_CodeBERT") model = AutoModelForSequenceClassification.from_pretrained("RayenLLM/Vulnerability_Detection_Using_CodeBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82a99c6e29de2f84ca46c469d61fb795407ff4cf5a1154935815f5053065d6a1
- Size of remote file:
- 5.37 kB
- SHA256:
- 0cae646c9b5eddfc4c88a515d2cd6cde4f9bfcf716268debf74622327eea0d47
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