Add library_name metadata
Browse filesThis PR improves the model card by adding the `library_name: transformers` to the metadata. This helps users identify the compatible library and allows the Hugging Face Hub to display relevant integration information, such as the "Use in Transformers" badge.
README.md
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@@ -1,5 +1,7 @@
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---
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license: mit
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tags:
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- text-to-image
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- image-editing
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@@ -8,7 +10,6 @@ tags:
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- multimodal
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- autoregressive
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- unified-model
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pipeline_tag: any-to-any
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---
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# 🌌 Skywork-UniPic-1.5B
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@@ -112,7 +113,7 @@ If you use Skywork-UniPic in your research, please cite:
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@misc{wang2025skyworkunipicunifiedautoregressive,
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title={Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation},
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author={Peiyu Wang and Yi Peng and Yimeng Gan and Liang Hu and Tianyidan Xie and Xiaokun Wang and Yichen Wei and Chuanxin Tang and Bo Zhu and Changshi Li and Hongyang Wei and Eric Li and Xuchen Song and Yang Liu and Yahui Zhou},
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year={2025},
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eprint={2508.03320},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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---
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license: mit
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pipeline_tag: any-to-any
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library_name: transformers
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tags:
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- text-to-image
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- image-editing
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- multimodal
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- autoregressive
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- unified-model
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---
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# 🌌 Skywork-UniPic-1.5B
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@misc{wang2025skyworkunipicunifiedautoregressive,
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title={Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation},
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author={Peiyu Wang and Yi Peng and Yimeng Gan and Liang Hu and Tianyidan Xie and Xiaokun Wang and Yichen Wei and Chuanxin Tang and Bo Zhu and Changshi Li and Hongyang Wei and Eric Li and Xuchen Song and Yang Liu and Yahui Zhou},
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year={2025},\
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eprint={2508.03320},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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