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mertkayacs
/
Karar-4B

Text Classification
Transformers
Safetensors
Turkish
English
qwen3_5
image-text-to-text
decision-model
calibration
conformal-prediction
uncertainty
reasoning
routing
triage
jev
typesafe
qwen3.5
turkish
small-language-model
local-llm
on-device
turkish-llm
Model card Files Files and versions
xet
Community
3

Instructions to use mertkayacs/Karar-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mertkayacs/Karar-4B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mertkayacs/Karar-4B")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("mertkayacs/Karar-4B")
    model = AutoModelForMultimodalLM.from_pretrained("mertkayacs/Karar-4B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Güncelleme: Kev-4B ve Laya ile karşılaştırma, Türkçe Emberwick klibi

#1 opened 25 days ago by
mertkayacs
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