Instructions to use 1-lock/f9ed846b-6a33-4b6b-8362-24c24958fa7e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/f9ed846b-6a33-4b6b-8362-24c24958fa7e 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, "1-lock/f9ed846b-6a33-4b6b-8362-24c24958fa7e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 968ce4a0dfbf9ed4c23acaae73a5d33bd5d2c441c938ec61fd8f09420485f6c3
- Size of remote file:
- 6.84 kB
- SHA256:
- 8f2c3ea4a56727a1e3a9ad6fea923b6fe679b3419428c21f6318c4e631202a94
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.