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
File size: 552 Bytes
95da285 | 1 2 3 4 5 6 7 8 9 10 | """Ayrı koşuda ölçülen kev_dev'i (aynı adaptör) üye dosyasına ekler: python merge_dev.py üye.json dev.json çıktı.json"""
import json, sys
m, d, out = sys.argv[1:4]
M = json.load(open(m, encoding="utf-8")); D = json.load(open(d, encoding="utf-8"))
assert abs(M.get("runs_temperature", 1) - D.get("runs_temperature", 1)) < 1e-6, "sıcaklık farklı: aynı adaptör değil?"
M["runs"]["kev_dev"] = D["runs"]["kev_dev"]
json.dump(M, open(out, "w", encoding="utf-8"))
print(out, M["runs_temperature"], D["runs"]["kev_dev"]["all"]["accuracy"])
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