# 模型列表

|模型名称|模型简介|模型配置|预训练checkpoint下载地址|
| --- | --- | --- | --- |
| ViT-B_16_224 |输入size为224，layers=12|[config](https://github.com/PaddlePaddle/PLSC/blob/release/2.4/task/classification/vit/configs/ViT_base_patch16_224_in1k_1n8c_dp_fp16o2.yaml) |[download](https://plsc.bj.bcebos.com/models/vit/v2.4/imagenet2012-ViT-B_16-224.pdparams) |  
| ViT-B_16_384 |输入size为384，layers=12|[config](https://github.com/PaddlePaddle/PLSC/blob/release/2.4/task/classification/vit/configs/ViT_base_patch16_384_ft_in1k_1n8c_dp_fp16o2.yaml)| [download](https://plsc.bj.bcebos.com/models/vit/v2.4/imagenet2012-ViT-B_16-224.pdparams) |
| ViT-L_16_224 |输入size为224，layers=24|[config](https://github.com/PaddlePaddle/PLSC/blob/release/2.4/task/classification/vit/configs/ViT_large_patch16_224_in21k_4n32c_dp_fp16o2.yaml)| [download](https://plsc.bj.bcebos.com/models/vit/v2.4/imagenet21k-ViT-L_16-224.pdparams) |
| ViT-L_16_384 |输入size为384，layers=32|[config](https://github.com/PaddlePaddle/PLSC/blob/release/2.4/task/classification/vit/configs/ViT_large_patch16_384_in1k_ft_4n32c_dp_fp16o2.yaml) | [download](https://plsc.bj.bcebos.com/models/vit/v2.4/imagenet21k-ViT-L_16-224.pdparams) |
