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:
- ba490cc3fb6bae3632024c0f07f8011d49db31ed3ef510c918b8112c99b348d3
- Size of remote file:
- 14.2 kB
- SHA256:
- 360a6be4633dc0315ec4d25053047c9cd4fe56aad5b002436233716de0350afc
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