Instructions to use cominder/Iwin-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cominder/Iwin-Transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="cominder/Iwin-Transformer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cominder/Iwin-Transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: mit
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---
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Pre-trained Iwin models on ImageNet-1k and ImageNet-22k
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license: mit
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tags:
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- arxiv:2507.18405
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Pre-trained Iwin Transformer models on ImageNet-1k and ImageNet-22k
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## Citation
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@misc{huo2025iwin,
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title={Iwin Transformer: Hierarchical Vision Transformer using Interleaved Windows},
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author={Simin Huo and Ning Li},
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year={2025},
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eprint={2507.18405},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2507.18405},
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}
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