Instructions to use jeongyoonhuh/q_lora_korqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jeongyoonhuh/q_lora_korqa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "jeongyoonhuh/q_lora_korqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5e47bd86ba39ae0a72d3fdfe3d8c133c53f350877cbd417acbbae6927153e95
- Size of remote file:
- 1.06 kB
- SHA256:
- 71ec17dd81af387bd1146a1b8edbaf6a378f8acfc261443bbcbf59b5d627ba85
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