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:
- 9b4f9da8e8480609c983d63dc8f98b767c9056dfd5950dc2700a5839451dc345
- Size of remote file:
- 6.78 kB
- SHA256:
- d10f02ceaecd98f0cfa13d2ebe39843945c61d5a14417929d8494d0384718dc2
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