Instructions to use alexiaassis/Modelo-Treinado-Gemma3-12b-T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alexiaassis/Modelo-Treinado-Gemma3-12b-T5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-12b-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "alexiaassis/Modelo-Treinado-Gemma3-12b-T5") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- ed2ffc7afc733e0db7d14843ee07b2e1949c614060311fcfcadc350fbc12f00e
- Size of remote file:
- 67.3 MB
- SHA256:
- 411bd55a39ff906d44f5b5e024efe2c9eeb5756e0677960e5968fc80370c0bf4
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