Visual Question Answering
Transformers
Safetensors
English
Chinese
designer-instruct
image-text-to-text
vision
multimodal
Mixture of Experts
design
zen
zenlm
hanzo
Instructions to use zenlm/zen-designer-235b-a22b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenlm/zen-designer-235b-a22b-instruct 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-instruct")# Load model directly from transformers import AutoModelForMultimodalLM model = AutoModelForMultimodalLM.from_pretrained("zenlm/zen-designer-235b-a22b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0490d386e07e40eb7ff28a8c656a36bc1f7aa28944a04d057e1b97c0a5d02aa
- Size of remote file:
- 4.98 GB
- SHA256:
- 1aa42065cfd4e1017f68539e839b41ed8599d1b9005cd1ef5cbf2c3e222f5a40
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