Image Segmentation
Transformers
PyTorch
English
setcon_chat
feature-extraction
referring-segmentation
video-segmentation
vision-language
custom_code
Instructions to use rookiexiong/SetCon-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rookiexiong/SetCon-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="rookiexiong/SetCon-8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rookiexiong/SetCon-8B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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concepts.
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## Citation
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```bibtex
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@article{zhang2026setcon,
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title={SetCon: towards open-ended referring segmentation via set-level concept prediction},
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concepts.
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## Citation
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If you find our work helpful for your research, please consider giving a star ⭐ and citation 📝
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```bibtex
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@article{zhang2026setcon,
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title={SetCon: towards open-ended referring segmentation via set-level concept prediction},
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