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--- |
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license: apache-2.0 |
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tags: |
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- vision |
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- simmim |
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datasets: |
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- imagenet-1k |
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inference: false |
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--- |
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# Swin Transformer (base-sized model) |
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Swin Transformer model pre-trained on ImageNet-1k using the SimMIM objective at resolution 192x192. It was introduced in the paper [SimMIM: A Simple Framework for Masked Image Modeling](https://arxiv.org/abs/2111.09886) by Xie et al. and first released in [this repository](https://github.com/microsoft/Swin-Transformer). |
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# Intended use cases |
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This model is pre-trained only, it's meant to be fine-tuned on a downstream dataset. |
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# Usage |
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Refer to the [documentation](https://huggingface.co/docs/transformers/model_doc/swin#transformers.SwinForMaskedImageModeling.forward.example). |
