Instructions to use alexiaassis/Modelo-Treinado-Gemma3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alexiaassis/Modelo-Treinado-Gemma3 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") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 4824b751338eb1e833cd6eab3c7a9fee94a035b7778a786c296ad7b5867b3726
- Size of remote file:
- 131 MB
- SHA256:
- 67b732d78c0543831c924f30a3e9f4ece7c9a51233bdd3e7eb43386b23a450d0
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