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# SwinTransformer

The SwinTransformer models are based on the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper. SwinTransformer V2 models are based on the Swin Transformer V2: Scaling Up Capacity and Resolution paper.

## Model builders

The following model builders can be used to instantiate an SwinTransformer model (original and V2) with and without pre-trained weights. All the model builders internally rely on the `torchvision.models.swin_transformer.SwinTransformer` base class. Please refer to the source code for more details about this class.

`swin_t`(*[, weights, progress]) | Constructs a swin_tiny architecture from Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.
`swin_s`(*[, weights, progress]) | Constructs a swin_small architecture from Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.
`swin_b`(*[, weights, progress]) | Constructs a swin_base architecture from Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.
`swin_v2_t`(*[, weights, progress]) | Constructs a swin_v2_tiny architecture from Swin Transformer V2: Scaling Up Capacity and Resolution.
`swin_v2_s`(*[, weights, progress]) | Constructs a swin_v2_small architecture from Swin Transformer V2: Scaling Up Capacity and Resolution.
`swin_v2_b`(*[, weights, progress]) | Constructs a swin_v2_base architecture from Swin Transformer V2: Scaling Up Capacity and Resolution.

## Docs

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## Tutorials

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## Resources

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