Any-to-Any
Transformers
Diffusers
Safetensors
text-to-image
image-editing
image-understanding
vision-language
multimodal
autoregressive
unified-model
Instructions to use Skywork/UniPic2-Metaquery-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/UniPic2-Metaquery-9B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Skywork/UniPic2-Metaquery-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa0f9be8f72c2deaabecc3abe8143fb67c9352ccc99552090d9ab4325fce5562
- Size of remote file:
- 4.94 GB
- SHA256:
- 36cb3f31d46ff17751b4a015b40f703d52538d7ad1875f49faec5b273cf46027
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