地址链接：https://www.flyai.com/m/seresnet152d_ra2-04464dd2.pth
确定自己使用的框架并导入对应的库。导入库实现样例代码可参考 文档中心-预训练模型使用教程
在代码中实现加载预训练模型地址
# path_pretrain = remote_helper.get_remote_data('https://www.flyai.com/m/resnest269-51ae5f19.pth')pretrain_dict = torch.load('./trained/seresnet152d_ra2-04464dd2.pth')
model_dict = self.net.state_dict()# # print(pretrain_dict.items())# # exit()
pretrain_dict = {k: v for k, v in pretrain_dict.items() if (k in model_dict)}model_dict.update(pretrain_dict)
self.net.load_state_dict(model_dict)
tf_efficientnetv2_s_21k-6337ad01.pth
查看来源：https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s_21k-6337ad01.pthtf_efficientnetv2_l_21k-91a19ec9.pth
查看来源：https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_l_21k-91a19ec9.pthmobilenetv3-large-1cd25616.pth
查看来源：https://github.com/bubbliiiing/mobilenet-yolov4-lite-pytorch#%E6%96%87%E4%BB%B6%E4%B8%8B%E8%BD%BDinception_v3_google-0cc3c7bd.pth
查看来源：https://download.pytorch.org/models/inception_v3_google-0cc3c7bd.pthdeit_base_patch16_224-b5f2ef4d.pth
查看来源：https://dl.fbaipublicfiles.com/deit/deit_base_patch16_224-b5f2ef4d.pthswin_large_patch4_window12_384_22k.pth
查看来源：https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window12_384_22k.pth