Instructions to use zzunyang/KLQD_ko_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zzunyang/KLQD_ko_sft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("SEOKDONG/llama3.1_korean_v1.1_sft_by_aidx") model = PeftModel.from_pretrained(base_model, "zzunyang/KLQD_ko_sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7c4ee6c2e9da85560238a3d5a485fac1c0790198b10cc1f34a5c12a84276ee9
- Size of remote file:
- 5.62 kB
- SHA256:
- fc79cdaddd470f4c4eb74fa3a2e4bdea3ae57cd39ecbbe7a6f49b15ccf9410cc
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