Instructions to use ScaDSAI/final_llama_attack_idk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ScaDSAI/final_llama_attack_idk 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_idk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9be79bab2fad48cb27a04b9ea30ae2a49f8e02527c103e8e9fce6cccc5d6ba94
- Size of remote file:
- 8.08 kB
- SHA256:
- b1da6178b2cd816c7a86224034f8544ca07d42b634ba43d288ef18c2074a1e08
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