Instructions to use kmd2525/qwen3-4b-structured-output-lora-v12.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kmd2525/qwen3-4b-structured-output-lora-v12.1 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, "kmd2525/qwen3-4b-structured-output-lora-v12.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b51fe814a43f936130796ea061d481a012017bf59b048b03fd59d1ccbc19536
- Size of remote file:
- 529 MB
- SHA256:
- a0919b1c43d1fdac65a07ae7b63d0a8effcc05fd3646292fd4ee23a409af06e6
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