Instructions to use codingtree/gemma3_pass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codingtree/gemma3_pass 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, "codingtree/gemma3_pass") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c624cbf431a9af582cd7f221589b604b50fb94878c54d76908df065900143d42
- Size of remote file:
- 1.06 kB
- SHA256:
- 53c7a62bb5882699a29ee2383433fcc768e2daeb45d3f2d9159bfe473a2712d4
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