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
File size: 270 Bytes
994481f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"formats": {
"safetensors": {
"available": true
},
"gguf": {
"available": true,
"quantizations": [
"Q4_K_M",
"Q8_0"
]
},
"mlx": {
"available": false
}
},
"size_estimate": "235B (22B active)"
} |