地址链接:https://www.flyai.com/m/se_resnext101_32x4d-3b2fe3d8.pth
查看来源:http://data.lip6.fr/cadene/pretrainedmodels/se_resnext101_32x4d-3b2fe3d8.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
se_resnext50_32x4d-a260b3a40.pth
查看来源:http://data.lip6.fr/cadene/pretrainedmodels/se_resnext50_32x4d-a260b3a4.pthseresnet34-a4004e63.pth
查看来源:https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/seresnet34-a4004e63.pthseresnet18-4bb0ce65.pth
查看来源:https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/seresnet18-4bb0ce65.pthseresnet50-60a8950a85b2b.pkl
查看来源:https://github.com/moskomule/senet.pytorch/releases/download/archive/seresnet50-60a8950a85b2b.pklse_resnet152-d17c99b7.pth
查看来源:http://data.lip6.fr/cadene/pretrainedmodels/se_resnet152-d17c99b7.pth