Instructions to use jeongyoonhuh/q_lora_korqa_re with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jeongyoonhuh/q_lora_korqa_re 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_re") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from jeongyoonhuh/q_lora_korqa_re: direct link, hf CLI and curl.
- Browser
- Download file 7.73 kB
-
https://huggingface.co/jeongyoonhuh/q_lora_korqa_re/resolve/main/trainer_state.json
- Command line
-
hf download hf://jeongyoonhuh/q_lora_korqa_re/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/jeongyoonhuh/q_lora_korqa_re/resolve/main/trainer_state.json
7.73 kB
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