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:
- 8289d265be955e8ce6ed30371ebc9dc9f55a92a71da08913f42d6c360c9a232b
- Size of remote file:
- 988 Bytes
- SHA256:
- 10f954bcf4752dcb7bd88ee87561d18194a58e4c9f4f66b81c3d42402915ee23
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