Instructions to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/814f19b2-e567-48bd-b878-462707019cfe 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, "dimasik2987/814f19b2-e567-48bd-b878-462707019cfe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e76b198ceee5fc5809e1fad19b1a9c6f43d4e343cd78503ebf576ae1ebf88c24
- Size of remote file:
- 1.06 kB
- SHA256:
- 212837ccb433e5430b061dc107b19dc09e932e6cfb62a751187d0903b7b0d94e
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