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_speed.png from berkay123001/turnike-jev-4b: direct link, hf CLI and curl.
- Browser
- Download file 120 kB
-
https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/fig_speed.png
- Command line
-
hf download hf://berkay123001/turnike-jev-4b/assets/fig_speed.png
-
curl -L -o fig_speed.png https://huggingface.co/berkay123001/turnike-jev-4b/resolve/main/assets/fig_speed.png
120 kB

- Xet hash:
- 78ba380a889d9be2e617801926d6c5f78f760755dac2f3fef18167c362dca109
- Size of remote file:
- 120 kB
- SHA256:
- 0eee671d44cd678c2239f481c556973b0bd735be55a81c85b387942f195e25fc
·
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