README.md

---
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).