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
| { | |
| "formats": { | |
| "safetensors": { | |
| "available": true | |
| }, | |
| "gguf": { | |
| "available": true, | |
| "quantizations": [ | |
| "Q4_K_M", | |
| "Q8_0" | |
| ] | |
| }, | |
| "mlx": { | |
| "available": false | |
| } | |
| }, | |
| "size_estimate": "235B (22B active)" | |
| } |