Instructions to use dada22231/f9ed846b-6a33-4b6b-8362-24c24958fa7e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/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, "dada22231/f9ed846b-6a33-4b6b-8362-24c24958fa7e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8ed560190abadfdc1a69b30f3635f055974b61390f932e674f6fee3557f8bd0
- Size of remote file:
- 6.84 kB
- SHA256:
- ea291b8a5e3ab4b2f70c25e13908b1c1b048bfac2e12cbffe80757fce14379f4
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