Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

zeronamoni
/
TMFT-adv

Text Generation
PEFT
Safetensors
English
lora
privacy
pii
membership-inference
masked-fine-tuning
Model card Files Files and versions
xet
Community

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
TMFT-adv / project
186 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
zeronamoni's picture
zeronamoni
Upload folder using huggingface_hub
c0ac271 verified about 2 months ago
  • configs
    Upload folder using huggingface_hub about 2 months ago
  • src
    Upload folder using huggingface_hub about 2 months ago
  • main.py
    6.92 kB
    Upload project/main.py with huggingface_hub about 2 months ago
  • requirements.txt
    244 Bytes
    Upload project/requirements.txt with huggingface_hub about 2 months ago
  • tmft_experiment.ipynb
    117 kB
    Upload project/tmft_experiment.ipynb with huggingface_hub about 2 months ago