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:
- ab8d37c9da6becf2adc321be47f4e5bdc24e7a4836e9c480fd4580bac6394777
- Size of remote file:
- 5.3 kB
- SHA256:
- 9c2067e392f7e4cce8f15a4812fcc1856cfd463701f93830d5214ea0e1c31bfb
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