Text Classification
PEFT
Safetensors
Turkish
English
decision
decision-model
typed-decisions
calibrated-probabilities
system-one
jev
jevbench
noul
choice
score
turkish
lora
multiple-choice
Instructions to use berkay123001/turnike-jev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use berkay123001/turnike-jev-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "berkay123001/turnike-jev-4b") - Notebooks
- Google Colab
- Kaggle
Download assets/banner_turnike.png from berkay123001/turnike-jev-4b: direct link, hf CLI and curl.
- Browser
- Download file 902 kB
-
https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/banner_turnike.png
- Command line
-
hf download hf://berkay123001/turnike-jev-4b/assets/banner_turnike.png
-
curl -L -o banner_turnike.png https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/banner_turnike.png
902 kB

- Xet hash:
- 4276f7f6d151570cfae1028adbba8837b493461cd1d91d927c5d8fd872676f58
- Size of remote file:
- 902 kB
- SHA256:
- 03d0f868662bc0210e64aba4127c319046f8b43ce82370cb9ae3bea0ba015cb8
·
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