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:
- 7acd50c2f9c3506ed860754b9dfec205fe83bff0460e907037cdaeb63494b107
- Size of remote file:
- 8.08 kB
- SHA256:
- bbdff530e0cb59ed75aff75f57c3f208271bb691169d69a32db3574cd484076b
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