Instructions to use emrevrg/AUBIN-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emrevrg/AUBIN-12B 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") - Notebooks
- Google Colab
- Kaggle
Download code/pyproject.toml from emrevrg/AUBIN-12B: direct link, hf CLI and curl.
- Browser
- Download file 516 Bytes
-
https://huggingface.co/emrevrg/AUBIN-12B/resolve/main/code/pyproject.toml
- Command line
-
hf download hf://emrevrg/AUBIN-12B/code/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/emrevrg/AUBIN-12B/resolve/main/code/pyproject.toml
516 Bytes
| [build-system] | |
| requires = ["setuptools>=61"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "aubin" | |
| version = "0.1.0" | |
| description = "AUBIN by Norovox — open-base, calibrated typed-decision models (one forward pass, probabilities out)" | |
| readme = "README.md" | |
| requires-python = ">=3.10" | |
| license = {text = "Apache-2.0"} | |
| dependencies = ["torch", "transformers>=4.57", "accelerate", "peft", "bitsandbytes", "huggingface_hub"] | |
| [project.scripts] | |
| aubin = "aubin.cli:main" | |
| [tool.setuptools] | |
| packages = ["aubin"] | |