Instructions to use emrevrg/AUBIN-E4B-Control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emrevrg/AUBIN-E4B-Control with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "emrevrg/AUBIN-E4B-Control") - Notebooks
- Google Colab
- Kaggle
Download lora_ctl_train.json from emrevrg/AUBIN-E4B-Control: direct link, hf CLI and curl.
- Browser
- Download file 65 Bytes
-
https://huggingface.co/emrevrg/AUBIN-E4B-Control/resolve/main/lora_ctl_train.json
- Command line
-
hf download hf://emrevrg/AUBIN-E4B-Control/lora_ctl_train.json
-
curl -L -o lora_ctl_train.json https://huggingface.co/emrevrg/AUBIN-E4B-Control/resolve/main/lora_ctl_train.json
65 Bytes
| {"best_dev": [0.8518518518518519, 1000], "train_examples": 15161} |