Instructions to use eeeebbb2/44615eb4-2107-4f78-8b73-ad8e065d32e9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/44615eb4-2107-4f78-8b73-ad8e065d32e9 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, "eeeebbb2/44615eb4-2107-4f78-8b73-ad8e065d32e9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a8769b2393b411675c93d53640b7ca5f147112eb39de85bacccf7f5dd783d19
- Size of remote file:
- 15 kB
- SHA256:
- ca8fbc4c7dce8fee4faed85b7a5d0e303b7dc75f53ed78213d729f4df5176324
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.