Instructions to use denbeo/7980b8d0-753e-4253-b2f3-8f9c5730a84b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/7980b8d0-753e-4253-b2f3-8f9c5730a84b 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, "denbeo/7980b8d0-753e-4253-b2f3-8f9c5730a84b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 025efe96338e07c76d6f9d57f22e70972325a8c176bea2c5139d67a8c29acfde
- Size of remote file:
- 84 MB
- SHA256:
- c855533eb7be232ab1f37cb9cba6907912dff55acc9daa1f1cf718b03d53de9e
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