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:
- dbc70d4e5ad016db80dfbda980fe273baeadea154d02ff38fcbc961d90ec9cdd
- Size of remote file:
- 336 MB
- SHA256:
- c38f58a474900ebd399b2ee2c4a5fe34102faf5c6f665f05ad7417a6b8816787
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