Instructions to use chihhh/attack-llama-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chihhh/attack-llama-chat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "chihhh/attack-llama-chat") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chihhh/attack-llama-chat: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/chihhh/attack-llama-chat/resolve/main/training_args.bin
- Command line
-
hf download hf://chihhh/attack-llama-chat/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chihhh/attack-llama-chat/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- c27f97190925708d7917b3cff7d86d4b6987f81d514001e88e9dc581f5fa3412
- Size of remote file:
- 5.11 kB
- SHA256:
- ec466bd55b31623d66abde9a17311debe4f092555f121bace4760eca956ec535
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