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/fig_compare.png from berkay123001/turnike-jev-4b: direct link, hf CLI and curl.
- Browser
- Download file 137 kB
-
https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/fig_compare.png
- Command line
-
hf download hf://berkay123001/turnike-jev-4b/assets/fig_compare.png
-
curl -L -o fig_compare.png https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/fig_compare.png
137 kB

- Xet hash:
- 9306cfaf246bc526a5267a3b150a6c4a0d83b0e1f37c45a42d1107d889328b7a
- Size of remote file:
- 137 kB
- SHA256:
- 06bdf1ecacca454af2910f6a92cae908c15aec851f0bfd1658fe7711ab62c980
·
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