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:
- 98c37153892c3c994b0958ae77b9c0b5f9b19b0e16b59effe24a145381fe8f86
- Size of remote file:
- 5.75 kB
- SHA256:
- d6ea78a0199538511244ed031e3b9a1dec96485a2e0ad6c7fd1e60dc7dc90fef
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