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
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
Restore upstream attribution in NOTICE (Qwen3-VL-235B-A22B-Thinking)
#1 opened 8 days ago
by
zeekay