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:
- 886596b1faaad48a75facac84e2ddd69c608e7e812e91bd99fd435ece9e8e61e
- Size of remote file:
- 336 MB
- SHA256:
- 46cd2085ff43a68f0ed90d9edcdfffcaca9d457962bd0f9a72bfda6ce0ddb740
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