Instructions to use ScaDSAI/final_llama_attack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ScaDSAI/final_llama_attack with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "ScaDSAI/final_llama_attack") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d677f2d39516a2959949a66997651cf6866304acfcda5243d19977ed2a43a7d
- Size of remote file:
- 17.2 MB
- SHA256:
- f938395396d8476b1de31c152035cce4db1a349768b227fb7405f013ea913c2d
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