Instructions to use jypucca/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jypucca/tmp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilbert/distilgpt2") model = PeftModel.from_pretrained(base_model, "jypucca/tmp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 548d18f32e77c0ad69b0aae8c8bc7d521a82de84873921e51c6613cc64ed766c
- Size of remote file:
- 5.3 kB
- SHA256:
- 1601887516dd207ea3d45428aba5b140bc08face2ce8467c932a0fa5602234ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.