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:
- 6e55d8631722b05c7184cb9abc22e3adcc32fd61ad0a1a63c4a892505406190a
- Size of remote file:
- 6.16 kB
- SHA256:
- 7f348b7829a714f893ff1e70716e63839f0016c4b17804483ff4f85314215273
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