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:
- 0b24d79b74b0144ece07e750a3bd66c562d14cce45644fd0dd8dd8d1a53c331a
- Size of remote file:
- 131 MB
- SHA256:
- 05aac005f989090c2c83473f01d0cf743d9da3b6282d5d3295cfe7250f0be708
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