Instructions to use MichaelKim/train_r425_r16_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MichaelKim/train_r425_r16_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("yanolja/EEVE-Korean-Instruct-10.8B-v1.0") model = PeftModel.from_pretrained(base_model, "MichaelKim/train_r425_r16_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2b7b9dec8f413f350843a387a004ec59cecbc69a1c508cd24bda42453264a30
- Size of remote file:
- 252 MB
- SHA256:
- 0eefb9c46ba9e95c5e4983aab6730b75686aa9c390baef983d295fc77e1922ab
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