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:
- d034b5d231ed52f9240b2beaecf8d06b0e60d2f0a691995f0e66eb66da19a8f4
- Size of remote file:
- 5.11 kB
- SHA256:
- c7cdf7ff6b1567a0b43dad6d86c294968cb869b668fc68b51361bead93ee453f
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