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:
- 42f0da24197e666b25e76514d94510a96bf9ed5cfdbf1e4a2e9726fbd7c257cb
- Size of remote file:
- 1.81 GB
- SHA256:
- c54024f1c7474e953bb7cfaaa63293498eff61ef73c6081315f90d1afc8f6c85
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