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:
- 799c4322862da0a7babec47cb4fdf86b2809cd90842ab20ff7cfba32cf03083f
- Size of remote file:
- 14.2 kB
- SHA256:
- 2b8c8ba5775d6a218cda369839296ddbded33110e4331755ba3b925ea152ebbb
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