Instructions to use 1-lock/d93cb369-43a5-4e23-9b59-d99051392b45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/d93cb369-43a5-4e23-9b59-d99051392b45 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "1-lock/d93cb369-43a5-4e23-9b59-d99051392b45") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60bdb6f563013d1187f5a8084da74899132cb85c5f73c809ae1d628943132b88
- Size of remote file:
- 6.84 kB
- SHA256:
- 8b06dc31ee132ebb69c7e3124f8340a65b2c52f7e3c268c1d4f70a85824de506
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.