Instructions to use abhayesian/LLama3_HarmBench_Untargeted_LAT_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhayesian/LLama3_HarmBench_Untargeted_LAT_2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abhayesian/LLama3_HarmBench_Untargeted_LAT_2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3d4e5694d5bf13825122365f5f837c45c6de549da69bcc0e0db75881fc7b3bd
- Size of remote file:
- 260 MB
- SHA256:
- 1d819b6d8e3c7de91d5dc6d8e3326bc1eda44f79e82dadf9c08d934b4c798a1a
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