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
Add format information
Browse files- formats.json +18 -0
formats.json
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{
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"formats": {
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"safetensors": {
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"available": true
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},
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"gguf": {
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"available": true,
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"quantizations": [
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"Q4_K_M",
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"Q8_0"
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]
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},
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"mlx": {
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"available": false
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}
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},
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"size_estimate": "235B (22B active)"
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}
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