Instructions to use antimage88/181e7566-a5bc-4aaf-8cc5-e4f386f6d57b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/181e7566-a5bc-4aaf-8cc5-e4f386f6d57b 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, "antimage88/181e7566-a5bc-4aaf-8cc5-e4f386f6d57b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adb84c3bf820494fc8aca02689649bdbc80d1f4e18b761df828ec46c00e1f0e0
- Size of remote file:
- 6.84 kB
- SHA256:
- 5c6da70ba05d2052c30c1829303a5d51d57ad5d51271a9428ea5ade0646590e0
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