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
| {% set system_message = 'Below is an instruction that describes a task. Write a response that appropriately completes the request. | |
| ' %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '### Instruction: | |
| ' + content + ' | |
| ### Response: | |
| ' }}{% elif message['role'] == 'assistant' %}{{ content + '<eos>' + ' | |
| ' }}{% endif %}{% endfor %} |