Instructions to use kmd2525/qwen3-4b-structured-output-lora-v13.1 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-v13.1 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-v13.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc7b543eb3043c6485a6602b5e5aa2bca58fd020e2aa165d478e3ece9d7938ac
- Size of remote file:
- 529 MB
- SHA256:
- 72003997c125e544c844d041787c7b0479e07d4029eee1122c161fd1c9e0b2a1
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