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 aubin_banner.webp from emrevrg/AUBIN-12B: direct link, hf CLI and curl.
- Browser
- Download file 212 kB
-
https://huggingface.co/emrevrg/AUBIN-12B/resolve/main/aubin_banner.webp
- Command line
-
hf download hf://emrevrg/AUBIN-12B/aubin_banner.webp
-
curl -L -o aubin_banner.webp https://huggingface.co/emrevrg/AUBIN-12B/resolve/main/aubin_banner.webp
212 kB

- Xet hash:
- 6aff6c5d400118e08dce70dc3465ea68a4c345ba383c32cb5277e33c67f406b7
- Size of remote file:
- 212 kB
- SHA256:
- 2e72c3a5d770d4a00281fbb37bffb879be520842dd2afd41bccee5004ae0a463
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