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:
- 88455d0203571aa23e70b2fd4a6b357b138d8d11dd500f544a7f12ff81554c7f
- Size of remote file:
- 262 MB
- SHA256:
- 582e697de0c7cc8c077e786764d4ab626af42929dfac561009248fd490acc81c
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