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:
- 96b32af8c268b7ff56e00ae1a155581e1cf97a88d8e638b9ea747eb94f93032d
- Size of remote file:
- 1.06 kB
- SHA256:
- 7d82d2d16872a1732d3ad5edf537980323396d3276d96893210571e67db4887f
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