Instructions to use DTakai/sft2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DTakai/sft2-lora 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, "DTakai/sft2-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f54e9da28d1d25845575ba8226f4e10e4c4bb98d56dceee13b8d07fe4bbfb04
- Size of remote file:
- 5.78 kB
- SHA256:
- f796c65dccbbb48057d88de09d6a30c44697bb396a5402237d2175827f0e12c3
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