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
- Xet hash:
- 280c052938118624634aaa8de05b5873b9f6a5a533f9758f6b8d83e3d1fdea5d
- Size of remote file:
- 5.11 kB
- SHA256:
- 3fd558b4eec356985103820c7ceb522616250ec3042128888bdcd5fbb26fbedb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.