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:
- 068e8e6cf682b792fe1ac46233317dc7906b89791bfa852a5540be74b6708f0c
- Size of remote file:
- 6.84 kB
- SHA256:
- a5c40ad1e56eee843802dad99d27ffda508146a4295054986b34808fb4567955
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