Instructions to use laquythang/005efa68-a7d9-4fa6-a24f-0fb7626c4b95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/005efa68-a7d9-4fa6-a24f-0fb7626c4b95 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "laquythang/005efa68-a7d9-4fa6-a24f-0fb7626c4b95") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e00839f53530d5f71469b2ab6af04e6737f897f52b5a0cbb3d102af55d53435
- Size of remote file:
- 168 MB
- SHA256:
- dd887c65638f7aa182002e38ba1697f0ee1d6aabb7d6d82cede1fd4314d57fc8
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