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:
- fc6ee5930393801a0c6e97b251ee8a10da24782e14541c8123571c9542f141e9
- Size of remote file:
- 5.11 kB
- SHA256:
- 5ec446fe5aff8dd23b14aae706189e95c2e5c90602e1fb79e6eced2bbd109b46
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.