Instructions to use okaba815/your-lora-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use okaba815/your-lora-repo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "okaba815/your-lora-repo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1c50da6b2eb6da5373502b3b06020bd8d66f81b8418c28ceeb9458e88efbd24
- Size of remote file:
- 529 MB
- SHA256:
- c35080a89294256a3e414f19abce74a3788edb29969ce7ed0d71f4141918c911
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