Instructions to use emrevrg/AUBIN-12B-Control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emrevrg/AUBIN-12B-Control with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-12B-it") model = PeftModel.from_pretrained(base_model, "emrevrg/AUBIN-12B-Control") - Notebooks
- Google Colab
- Kaggle
Download code/aubin/__init__.py from emrevrg/AUBIN-12B-Control: direct link, hf CLI and curl.
- Browser
- Download file 597 Bytes
-
https://huggingface.co/emrevrg/AUBIN-12B-Control/resolve/main/code/aubin/__init__.py
- Command line
-
hf download hf://emrevrg/AUBIN-12B-Control/code/aubin/__init__.py
-
curl -L -o __init__.py https://huggingface.co/emrevrg/AUBIN-12B-Control/resolve/main/code/aubin/__init__.py
597 Bytes
| """AUBIN by Norovox — açık-tabanlı, kalibre tipli karar modelleri.""" | |
| from .core import Aubin, AubinEnsemble, options | |
| from .loop import AubinLoop, GemmaGenerator, OpenAIGenerator | |
| from .control import AubinController | |
| from .learn import AubinLearning, DecisionMemory, SelfCalibrator, SkillLibrary | |
| from .engine import AubinEngine | |
| from .omni import AubinOmni | |
| __version__ = "0.1.0" | |
| __all__ = ["Aubin", "AubinEnsemble", "options", "AubinLoop", "GemmaGenerator", "OpenAIGenerator", "AubinController", "AubinLearning", "DecisionMemory", "SelfCalibrator", "SkillLibrary", "AubinEngine", "AubinOmni"] | |