Instructions to use zeronamoni/TMFT-adv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zeronamoni/TMFT-adv with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "zeronamoni/TMFT-adv") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- experiment/figures/.ipynb_checkpoints/masked_token_ratio-checkpoint.pdf +0 -0
- experiment/figures/.ipynb_checkpoints/masked_token_ratio-checkpoint.png +0 -0
- experiment/figures/masked_token_ratio.pdf +0 -0
- experiment/figures/masked_token_ratio.png +0 -0
- experiment/figures/mia_auc.pdf +0 -0
- experiment/figures/mia_auc.png +0 -0
- experiment/figures/privacy_utility_tradeoff.pdf +0 -0
- experiment/figures/privacy_utility_tradeoff.png +0 -0
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