Instructions to use 1-lock/f82de705-b584-4950-8670-43c7ce2f4f0a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/f82de705-b584-4950-8670-43c7ce2f4f0a 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/f82de705-b584-4950-8670-43c7ce2f4f0a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00c204cd37221efdbb3a12067e764f0a102f296ce9040d62c065aa25153b6159
- Size of remote file:
- 6.84 kB
- SHA256:
- 1df82650da2e030c35b7af98ed556eea4eac1e2add06d08aa13663705b988345
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