Instructions to use jjinkoo/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jjinkoo/test2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "jjinkoo/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82bab834237c855699457f30998601a0941ca975d7faf77b1976d1440556a1a8
- Size of remote file:
- 6.83 MB
- SHA256:
- b13b7499dac74b2ff9a924317d706023feb9c254cf00dbbc834e7fdbd7b8997e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.