Instructions to use TheTharindu/c-vulnerability-explain-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TheTharindu/c-vulnerability-explain-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/deepseek-r1-distill-llama-8b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "TheTharindu/c-vulnerability-explain-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4010a0299a7767aa35fd9be424cd95c0ad0be05846e7953e87fea87edb497804
- Size of remote file:
- 5.69 kB
- SHA256:
- 584ac7112a16c6bac882566bc4fabc9485a3806d7a869957c7dcdae506879652
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