Instructions to use jjinkoo/LORA_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jjinkoo/LORA_finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B") model = PeftModel.from_pretrained(base_model, "jjinkoo/LORA_finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f8d50595573af73d5cdc9d6302e39a21487184eae1bc0b6514086d55ff45347
- Size of remote file:
- 6.83 MB
- SHA256:
- f6b8b5204cc38db13f679309cf369299023f70c11775972ab7b61ebb38e55f4b
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