我是靠谱客的博主 坚定火龙果,这篇文章主要介绍【pytorch预训练模型】pytorch预训练模型的下载地址,现在分享给大家,希望可以做个参考。

https://github.com/pytorch/vision/tree/master/torchvision/models
几乎所有的常用预训练模型都在这里面

总结下各种模型的下载地址:

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Resnet: model_urls = { 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth', 'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth', 'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth', 'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth', 'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth', } inception: model_urls = { # Inception v3 ported from TensorFlow 'inception_v3_google': 'https://download.pytorch.org/models/inception_v3_google-1a9a5a14.pth', } Densenet: model_urls = { 'densenet121': 'https://download.pytorch.org/models/densenet121-a639ec97.pth', 'densenet169': 'https://download.pytorch.org/models/densenet169-b2777c0a.pth', 'densenet201': 'https://download.pytorch.org/models/densenet201-c1103571.pth', 'densenet161': 'https://download.pytorch.org/models/densenet161-8d451a50.pth', } Alexnet: model_urls = { 'alexnet': 'https://download.pytorch.org/models/alexnet-owt-4df8aa71.pth', } vggnet: model_urls = { 'vgg11': 'https://download.pytorch.org/models/vgg11-bbd30ac9.pth', 'vgg13': 'https://download.pytorch.org/models/vgg13-c768596a.pth', 'vgg16': 'https://download.pytorch.org/models/vgg16-397923af.pth', 'vgg19': 'https://download.pytorch.org/models/vgg19-dcbb9e9d.pth', 'vgg11_bn': 'https://download.pytorch.org/models/vgg11_bn-6002323d.pth', 'vgg13_bn': 'https://download.pytorch.org/models/vgg13_bn-abd245e5.pth', 'vgg16_bn': 'https://download.pytorch.org/models/vgg16_bn-6c64b313.pth', 'vgg19_bn': 'https://download.pytorch.org/models/vgg19_bn-c79401a0.pth', }

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以上就是坚定火龙果最近收集整理的关于【pytorch预训练模型】pytorch预训练模型的下载地址的全部内容,更多相关【pytorch预训练模型】pytorch预训练模型内容请搜索靠谱客的其他文章。

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