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/arch.png from berkay123001/turnike-jev-4b: direct link, hf CLI and curl.
- Browser
- Download file 556 kB
-
https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/arch.png
- Command line
-
hf download hf://berkay123001/turnike-jev-4b/assets/arch.png
-
curl -L -o arch.png https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/arch.png
556 kB

- Xet hash:
- e6dd40d5d9c5a2e01be12c49935cf293a7a443c480852aacaa973e1aa0bc5b13
- Size of remote file:
- 556 kB
- SHA256:
- 82f320a98893c118ed09358c560fa633ea8a8337a451b03c0a22c7fadb575bb0
·
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