readme: ---
  license: apache-2.0
  tags:
  - vision
  - simmim
  datasets:
  - imagenet-1k
  inference: false
  ---
  
  # Swin Transformer (base-sized model) 
  
  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). 
  
  # Intended use cases
  
  This model is pre-trained only, it's meant to be fine-tuned on a downstream dataset.
  
  # Usage
  
  Refer to the [documentation](https://huggingface.co/docs/transformers/model_doc/swin#transformers.SwinForMaskedImageModeling.forward.example).