Instructions to use Novaspree/tofu-Gemma3-adapter-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Novaspree/tofu-Gemma3-adapter-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Novaspree/tofu-Gemma3-adapter-1") - Notebooks
- Google Colab
- Kaggle
Improve model card and add metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This PR improves the model card for this LoRA adapter. Specifically, it:
- Links the model to the original paper: MAAT: Multi-phase Adapter-Aware Targeted Unlearning.
- Adds a link to the GitHub repository.
- Updates the YAML metadata with the correct
base_model(google/gemma-3-4b-it),license(apache-2.0), andpipeline_tag(text-generation). - Provides a summary of the MAAT framework and the 5WBENCH benchmark used for evaluation.
Feel free to merge this if it looks good!
Novaspree changed pull request status to merged