Instructions to use Poyo2/lora-structured-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Poyo2/lora-structured-data 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, "Poyo2/lora-structured-data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 609ae57694c60f50985e4d7c734ecf2c973d78fa590102c53c816ef0ec95573e
- Size of remote file:
- 264 MB
- SHA256:
- 1721aa8967ee3b089c2a4dbf5d38b94d9be815fc7a36939b5732eb72db6d46cf
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