Instructions to use AndyPark/gemma3_lora_oneshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AndyPark/gemma3_lora_oneshot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "AndyPark/gemma3_lora_oneshot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a159a68cfdf72d8b3671266ad83878ab00345807b9e89fd038f4401662d8139
- Size of remote file:
- 455 MB
- SHA256:
- f0d28026c3d896517d399767190ec75334825f8ebcbf3a8985e32a7b9d345376
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