Instructions to use BackdoorLLM/Jailbreak_Llama2-13B_BadNets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BackdoorLLM/Jailbreak_Llama2-13B_BadNets with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("BackdoorLLM/Jailbreak_Llama2-13B_BadNets", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05c3f17c0bb116d9d4c870689e96f86b6717842ef1f20ca77fa723bea02ea63e
- Size of remote file:
- 40 MB
- SHA256:
- d42105514d6159240695027efa83f4cb5e2ef1da826ba7b051f2ad7688822021
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.