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:
- cb9d03aee1f5c05669638cf3b9e9dcc80407efdb896a0550cf36dccd524fcb70
- Size of remote file:
- 131 MB
- SHA256:
- abdb792f63e356b58b4759561df824065421ba8294c4977a64ca2773c2041d5f
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