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values | input_size
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|---|---|---|---|
alexnet | alexnet | 224 | https://download.pytorch.org/models/alexnet-owt-7be5be79.pth |
convnext_tiny | convnext | 224 | https://download.pytorch.org/models/convnext_tiny-983f1562.pth |
convnext_small | convnext | 224 | https://download.pytorch.org/models/convnext_small-0c510722.pth |
convnext_base | convnext | 224 | https://download.pytorch.org/models/convnext_base-6075fbad.pth |
convnext_large | convnext | 224 | https://download.pytorch.org/models/convnext_large-ea097f82.pth |
densenet121 | densenet | 224 | https://download.pytorch.org/models/densenet121-a639ec97.pth |
densenet161 | densenet | 224 | https://download.pytorch.org/models/densenet161-8d451a50.pth |
densenet169 | densenet | 224 | https://download.pytorch.org/models/densenet169-b2777c0a.pth |
densenet201 | densenet | 224 | https://download.pytorch.org/models/densenet201-c1103571.pth |
efficientnet_b0 | efficientnet | 224 | https://download.pytorch.org/models/efficientnet_b0_rwightman-7f5810bc.pth |
efficientnet_b1 | efficientnet | 240 | https://download.pytorch.org/models/efficientnet_b1_rwightman-bac287d4.pth |
efficientnet_b2 | efficientnet | 288 | https://download.pytorch.org/models/efficientnet_b2_rwightman-c35c1473.pth |
efficientnet_b3 | efficientnet | 300 | https://download.pytorch.org/models/efficientnet_b3_rwightman-b3899882.pth |
efficientnet_b4 | efficientnet | 380 | https://download.pytorch.org/models/efficientnet_b4_rwightman-23ab8bcd.pth |
efficientnet_b5 | efficientnet | 456 | https://download.pytorch.org/models/efficientnet_b5_lukemelas-1a07897c.pth |
efficientnet_b6 | efficientnet | 528 | https://download.pytorch.org/models/efficientnet_b6_lukemelas-24a108a5.pth |
efficientnet_b7 | efficientnet | 600 | https://download.pytorch.org/models/efficientnet_b7_lukemelas-c5b4e57e.pth |
efficientnet_v2_s | efficientnet | 384 | https://download.pytorch.org/models/efficientnet_v2_s-dd5fe13b.pth |
efficientnet_v2_m | efficientnet | 480 | https://download.pytorch.org/models/efficientnet_v2_m-dc08266a.pth |
efficientnet_v2_l | efficientnet | 480 | https://download.pytorch.org/models/efficientnet_v2_l-59c71312.pth |
googlenet | googlenet | 224 | https://download.pytorch.org/models/googlenet-1378be20.pth |
inception_v3 | googlenet | 299 | https://download.pytorch.org/models/inception_v3_google-0cc3c7bd.pth |
maxvit_t | maxvit | 224 | https://download.pytorch.org/models/maxvit_t-bc5ab103.pth |
mnasnet0_5 | mnasnet | 224 | https://download.pytorch.org/models/mnasnet0.5_top1_67.823-3ffadce67e.pth |
mnasnet0_75 | mnasnet | 224 | https://download.pytorch.org/models/mnasnet0_75-7090bc5f.pth |
mnasnet1_0 | mnasnet | 224 | https://download.pytorch.org/models/mnasnet1.0_top1_73.512-f206786ef8.pth |
mnasnet1_3 | mnasnet | 224 | https://download.pytorch.org/models/mnasnet1_3-a4c69d6f.pth |
mobilenet_v2 | mobilenet | 224 | https://download.pytorch.org/models/mobilenet_v2-b0353104.pth |
mobilenet_v3_large | mobilenet | 224 | https://download.pytorch.org/models/mobilenet_v3_large-8738ca79.pth |
mobilenet_v3_small | mobilenet | 224 | https://download.pytorch.org/models/mobilenet_v3_small-047dcff4.pth |
regnet_y_400mf | regnet | 224 | https://download.pytorch.org/models/regnet_y_400mf-c65dace8.pth |
regnet_y_800mf | regnet | 224 | https://download.pytorch.org/models/regnet_y_800mf-1b27b58c.pth |
regnet_y_1_6gf | regnet | 224 | https://download.pytorch.org/models/regnet_y_1_6gf-b11a554e.pth |
regnet_y_3_2gf | regnet | 224 | https://download.pytorch.org/models/regnet_y_3_2gf-b5a9779c.pth |
regnet_y_8gf | regnet | 224 | https://download.pytorch.org/models/regnet_y_8gf-d0d0e4a8.pth |
regnet_y_16gf | regnet | 224 | https://download.pytorch.org/models/regnet_y_16gf-9e6ed7dd.pth |
regnet_y_32gf | regnet | 224 | https://download.pytorch.org/models/regnet_y_32gf-4dee3f7a.pth |
regnet_x_400mf | regnet | 224 | https://download.pytorch.org/models/regnet_x_400mf-adf1edd5.pth |
regnet_x_800mf | regnet | 224 | https://download.pytorch.org/models/regnet_x_800mf-ad17e45c.pth |
regnet_x_1_6gf | regnet | 224 | https://download.pytorch.org/models/regnet_x_1_6gf-e3633e7f.pth |
regnet_x_3_2gf | regnet | 224 | https://download.pytorch.org/models/regnet_x_3_2gf-f342aeae.pth |
regnet_x_8gf | regnet | 224 | https://download.pytorch.org/models/regnet_x_8gf-03ceed89.pth |
regnet_x_16gf | regnet | 224 | https://download.pytorch.org/models/regnet_x_16gf-2007eb11.pth |
regnet_x_32gf | regnet | 224 | https://download.pytorch.org/models/regnet_x_32gf-9d47f8d0.pth |
resnet18 | resnet | 224 | https://download.pytorch.org/models/resnet18-f37072fd.pth |
resnet34 | resnet | 224 | https://download.pytorch.org/models/resnet34-b627a593.pth |
resnet50 | resnet | 224 | https://download.pytorch.org/models/resnet50-0676ba61.pth |
resnet101 | resnet | 224 | https://download.pytorch.org/models/resnet101-63fe2227.pth |
resnet152 | resnet | 224 | https://download.pytorch.org/models/resnet152-394f9c45.pth |
resnext50_32x4d | resnet | 224 | https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth |
resnext101_32x8d | resnet | 224 | https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth |
resnext101_64x4d | resnet | 224 | https://download.pytorch.org/models/resnext101_64x4d-173b62eb.pth |
wide_resnet50_2 | resnet | 224 | https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth |
wide_resnet101_2 | resnet | 224 | https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth |
shufflenet_v2_x0_5 | shufflenet | 224 | https://download.pytorch.org/models/shufflenetv2_x0.5-f707e7126e.pth |
shufflenet_v2_x1_0 | shufflenet | 224 | https://download.pytorch.org/models/shufflenetv2_x1-5666bf0f80.pth |
shufflenet_v2_x1_5 | shufflenet | 224 | https://download.pytorch.org/models/shufflenetv2_x1_5-3c479a10.pth |
shufflenet_v2_x2_0 | shufflenet | 224 | https://download.pytorch.org/models/shufflenetv2_x2_0-8be3c8ee.pth |
squeezenet1_0 | squeezenet | 224 | https://download.pytorch.org/models/squeezenet1_0-b66bff10.pth |
squeezenet1_1 | squeezenet | 224 | https://download.pytorch.org/models/squeezenet1_1-b8a52dc0.pth |
swin_t | swin_transformer | 224 | https://download.pytorch.org/models/swin_t-704ceda3.pth |
swin_s | swin_transformer | 224 | https://download.pytorch.org/models/swin_s-5e29d889.pth |
swin_b | swin_transformer | 224 | https://download.pytorch.org/models/swin_b-68c6b09e.pth |
swin_v2_t | swin_transformer | 256 | https://download.pytorch.org/models/swin_v2_t-b137f0e2.pth |
swin_v2_s | swin_transformer | 256 | https://download.pytorch.org/models/swin_v2_s-637d8ceb.pth |
swin_v2_b | swin_transformer | 256 | https://download.pytorch.org/models/swin_v2_b-781e5279.pth |
vgg11 | vgg | 224 | https://download.pytorch.org/models/vgg11-8a719046.pth |
vgg11_bn | vgg | 224 | https://download.pytorch.org/models/vgg11_bn-6002323d.pth |
vgg13 | vgg | 224 | https://download.pytorch.org/models/vgg13-19584684.pth |
vgg13_bn | vgg | 224 | https://download.pytorch.org/models/vgg13_bn-abd245e5.pth |
vgg16 | vgg | 224 | https://download.pytorch.org/models/vgg16-397923af.pth |
vgg16_bn | vgg | 224 | https://download.pytorch.org/models/vgg16_bn-6c64b313.pth |
vgg19 | vgg | 224 | https://download.pytorch.org/models/vgg19-dcbb9e9d.pth |
vgg19_bn | vgg | 224 | https://download.pytorch.org/models/vgg19_bn-c79401a0.pth |
vit_b_16 | vit | 224 | https://download.pytorch.org/models/vit_b_16-c867db91.pth |
vit_b_32 | vit | 224 | https://download.pytorch.org/models/vit_b_32-d86f8d99.pth |
vit_l_16 | vit | 224 | https://download.pytorch.org/models/vit_l_16-852ce7e3.pth |
vit_l_32 | vit | 224 | https://download.pytorch.org/models/vit_l_32-c7638314.pth |