Instructions to use jjinkoo/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jjinkoo/test2 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, "jjinkoo/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcd28b5e9653f9d1eb0e16032755c3a0b61b53c39b5eb0f158b3a96add31e3ac
- Size of remote file:
- 5.5 kB
- SHA256:
- 617e671698e739084ceee87b5df66256d60cb67f121b0176b4c9f8da6d337e83
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