Instructions to use AlignmentResearch/obfuscation-atlas-gemma-3-12b-it-kl0.1-det3-seed1-diverse_deception_probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlignmentResearch/obfuscation-atlas-gemma-3-12b-it-kl0.1-det3-seed1-diverse_deception_probe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-12b-it") model = PeftModel.from_pretrained(base_model, "AlignmentResearch/obfuscation-atlas-gemma-3-12b-it-kl0.1-det3-seed1-diverse_deception_probe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d0684b43324437997cd1034ee3b2802e9324b7b2522732909a249f4a42d78a7
- Size of remote file:
- 1.19 GB
- SHA256:
- da7687d0ddbadb48a5564bff0c195beb5e10ae6da87749b286ace67e92145177
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