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zenlm
/
zen-designer-235b-a22b-thinking

Visual Question Answering
Transformers
Safetensors
English
Chinese
designer-thinking
image-text-to-text
vision
multimodal
design
thinking-mode
Mixture of Experts
zen
zoo-gym
hanzo-ai
text-generation
visual-reasoning
zenlm
Model card Files Files and versions
xet
Community
1

Instructions to use zenlm/zen-designer-235b-a22b-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zenlm/zen-designer-235b-a22b-thinking with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="zenlm/zen-designer-235b-a22b-thinking")
    # Load model directly
    from transformers import AutoModelForMultimodalLM
    model = AutoModelForMultimodalLM.from_pretrained("zenlm/zen-designer-235b-a22b-thinking", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Restore upstream attribution in NOTICE (Qwen3-VL-235B-A22B-Thinking)

#1 opened 8 days ago by
zeekay
Company
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