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:
- 06e3a0a63eb69c7823bb820df066b1f3164cfffe5d862198fd08172fac0839de
- Size of remote file:
- 239 MB
- SHA256:
- 830a2f5b70ff5c0a907d7a0094d1c1fd7b46866030b972ee9e75820e5e7b96f2
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