Instructions to use AlignmentResearch/obfuscation-atlas-gemma-3-27b-it-kl1-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-3-27b-it-kl1-det3-seed1-diverse_deception_probe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "AlignmentResearch/obfuscation-atlas-gemma-3-27b-it-kl1-det3-seed1-diverse_deception_probe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5322f9b9cd680553a980588493bb5fc842d6e133131448170970405dc38d7674
- Size of remote file:
- 1.96 GB
- SHA256:
- 70cd90c72a963a5584b776e1d24a8e0610bf9340c97b76cefb9e250e6cd4fc86
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