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:
- 208c0a8f200fbea6c057071a16dffe8414dea7da9d0381e25644222a7ff634c9
- Size of remote file:
- 499 MB
- SHA256:
- b3f7e9d27be00956038359efce329f4db5ad48c0d03aec934d8fedab512ebb07
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