Export model 'resnext50_32x4d.fb_swsl_ig1b_ft_in1k', on 2025-01-19 18:37:50 UTC
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README.md
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- timm/resnetv2_18d.ra4_e3600_r224_in1k
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- timm/resnetv2_101x1_bit.goog_in21k_ft_in1k
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- timm/resnext101_32x8d.tv_in1k
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- timm/rexnetr_300.sw_in12k_ft_in1k
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- timm/skresnext50_32x4d.ra_in1k
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# Models
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## ByobNet
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## ResNet
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| Name
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| [resnext101_32x8d.tv_in1k](https://huggingface.co/timm/resnext101_32x8d.tv_in1k)
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| [resnet152s.gluon_in1k](https://huggingface.co/timm/resnet152s.gluon_in1k)
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| [resnet152.gluon_in1k](https://huggingface.co/timm/resnet152.gluon_in1k)
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| [resnet101d.ra2_in1k](https://huggingface.co/timm/resnet101d.ra2_in1k)
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| [resnetaa50.a1h_in1k](https://huggingface.co/timm/resnetaa50.a1h_in1k)
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| [skresnext50_32x4d.ra_in1k](https://huggingface.co/timm/skresnext50_32x4d.ra_in1k)
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| [resnet50d.a1_in1k](https://huggingface.co/timm/resnet50d.a1_in1k)
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| [resnet50c.gluon_in1k](https://huggingface.co/timm/resnet50c.gluon_in1k)
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| [ecaresnet50t.a1_in1k](https://huggingface.co/timm/ecaresnet50t.a1_in1k)
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## ResNetV2
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- timm/resnetaa50.a1h_in1k
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- timm/resnetv2_18d.ra4_e3600_r224_in1k
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- timm/resnetv2_101x1_bit.goog_in21k_ft_in1k
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- timm/resnext50_32x4d.fb_swsl_ig1b_ft_in1k
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- timm/resnext101_32x8d.tv_in1k
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- timm/rexnetr_300.sw_in12k_ft_in1k
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# Models
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85 models exported from TIMM in total.
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## ByobNet
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## ResNet
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14 models with model class `ResNet`.
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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|:---------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:--------|:------------------|:-------------|
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| [resnext101_32x8d.tv_in1k](https://huggingface.co/timm/resnext101_32x8d.tv_in1k) | 88.8M | 16.5G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext101_32x8d | 2023-04-05 |
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| [resnet152s.gluon_in1k](https://huggingface.co/timm/resnet152s.gluon_in1k) | 60.3M | 13.0G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet152s | 2023-04-05 |
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| [resnet152.gluon_in1k](https://huggingface.co/timm/resnet152.gluon_in1k) | 60.2M | 11.6G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet152 | 2023-04-05 |
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| [resnet101d.ra2_in1k](https://huggingface.co/timm/resnet101d.ra2_in1k) | 44.6M | 10.6G | 256 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet101d | 2023-04-05 |
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| [resnetaa50.a1h_in1k](https://huggingface.co/timm/resnetaa50.a1h_in1k) | 25.6M | 5.2G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnetaa50 | 2023-04-05 |
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| [skresnext50_32x4d.ra_in1k](https://huggingface.co/timm/skresnext50_32x4d.ra_in1k) | 27.4M | 4.5G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | skresnext50_32x4d | 2023-04-24 |
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| [resnet50d.a1_in1k](https://huggingface.co/timm/resnet50d.a1_in1k) | 25.6M | 4.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet50d | 2023-04-05 |
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| [resnet50c.gluon_in1k](https://huggingface.co/timm/resnet50c.gluon_in1k) | 25.6M | 4.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet50c | 2023-04-05 |
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| [ecaresnet50t.a1_in1k](https://huggingface.co/timm/ecaresnet50t.a1_in1k) | 25.6M | 4.3G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | ecaresnet50t | 2023-04-05 |
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| [resnext50_32x4d.fb_swsl_ig1b_ft_in1k](https://huggingface.co/timm/resnext50_32x4d.fb_swsl_ig1b_ft_in1k) | 25.0M | 4.3G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext50_32x4d | 2023-04-05 |
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| [res2net50_48w_2s.in1k](https://huggingface.co/timm/res2net50_48w_2s.in1k) | 25.3M | 4.2G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | res2net50_48w_2s | 2023-04-24 |
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| [resnet50.c1_in1k](https://huggingface.co/timm/resnet50.c1_in1k) | 25.6M | 4.1G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet50 | 2023-04-05 |
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| [resnet18d.ra2_in1k](https://huggingface.co/timm/resnet18d.ra2_in1k) | 11.7M | 2.1G | 224 | True | 512 | 1000 | imagenet-1k | ResNet | resnet18d | 2023-04-05 |
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| [resnet34.a3_in1k](https://huggingface.co/timm/resnet34.a3_in1k) | 21.8M | 1.9G | 160 | True | 512 | 1000 | imagenet-1k | ResNet | resnet34 | 2023-04-05 |
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## ResNetV2
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models.parquet
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resnext50_32x4d.fb_swsl_ig1b_ft_in1k/meta.json
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resnext50_32x4d.fb_swsl_ig1b_ft_in1k/model.onnx
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resnext50_32x4d.fb_swsl_ig1b_ft_in1k/preprocess.json
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