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mertkayacs
/
Wahler-4B

Text Classification
Transformers
Safetensors
German
English
qwen3_5
image-text-to-text
decision-model
calibration
conformal-prediction
uncertainty
reasoning
routing
triage
jev
typesafe
qwen3.5
german
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

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

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

Update: Vergleich mit Kev-4B und Laya, deutscher Emberwick-Clip

#1 opened 2 days ago by
mertkayacs
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