Instructions to use AmirMohseni/curvebench-gemma-3-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AmirMohseni/curvebench-gemma-3-12b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-12b-it") model = PeftModel.from_pretrained(base_model, "AmirMohseni/curvebench-gemma-3-12b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 675135bd399b1b183265051f4b70b0ac957616c83876ce800bc463652a354250
- Size of remote file:
- 7.57 kB
- SHA256:
- 9b104f4880b5e5596f32303633dee230104c79c5efffe268b737eb82092f0cff
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