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:
- a1c4f6ceb5f51c6346312f90a394fbffd331a2350de42d3cd38790f38796001e
- Size of remote file:
- 2.44 GB
- SHA256:
- 7aff4021adb430572a3bf403cc2c9f0c2d9a190fde96e8250ae14511c62b3b1d
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