Export model 'resnet26t.ra2_in1k', on 2025-01-20 19:21:35 JST
Browse files- README.md +3 -2
- models.parquet +2 -2
- resnet26t.ra2_in1k/meta.json +3 -0
- resnet26t.ra2_in1k/model.onnx +3 -0
- resnet26t.ra2_in1k/preprocess.json +3 -0
README.md
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# Models
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## Beit
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## ResNet
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| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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| [resnet34.a1_in1k](https://huggingface.co/timm/resnet34.a1_in1k) | 21.8M | 3.7G | 224 | True | 512 | 1000 | imagenet-1k | ResNet | resnet34 | 2023-04-06 |
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| [skresnet34.ra_in1k](https://huggingface.co/timm/skresnet34.ra_in1k) | 22.3M | 3.7G | 224 | True | 512 | 1000 | imagenet-1k | ResNet | skresnet34 | 2023-04-24 |
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979 |
| [resnest26d.gluon_in1k](https://huggingface.co/timm/resnest26d.gluon_in1k) | 17.1M | 3.7G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnest26d | 2023-04-24 |
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| [resnest14d.gluon_in1k](https://huggingface.co/timm/resnest14d.gluon_in1k) | 10.6M | 2.8G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnest14d | 2023-04-24 |
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| [resnext50_32x4d.tv2_in1k](https://huggingface.co/timm/resnext50_32x4d.tv2_in1k) | 25.0M | 2.7G | 176 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext50_32x4d | 2023-04-06 |
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| [seresnext26t_32x4d.bt_in1k](https://huggingface.co/timm/seresnext26t_32x4d.bt_in1k) | 16.8M | 2.7G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | seresnext26t_32x4d | 2023-04-06 |
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# Models
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768 models exported from TIMM in total.
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## Beit
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## ResNet
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117 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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| [resnet34.a1_in1k](https://huggingface.co/timm/resnet34.a1_in1k) | 21.8M | 3.7G | 224 | True | 512 | 1000 | imagenet-1k | ResNet | resnet34 | 2023-04-06 |
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| [skresnet34.ra_in1k](https://huggingface.co/timm/skresnet34.ra_in1k) | 22.3M | 3.7G | 224 | True | 512 | 1000 | imagenet-1k | ResNet | skresnet34 | 2023-04-24 |
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| [resnest26d.gluon_in1k](https://huggingface.co/timm/resnest26d.gluon_in1k) | 17.1M | 3.7G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnest26d | 2023-04-24 |
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| [resnet26t.ra2_in1k](https://huggingface.co/timm/resnet26t.ra2_in1k) | 16.0M | 3.4G | 256 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet26t | 2023-04-06 |
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| [resnest14d.gluon_in1k](https://huggingface.co/timm/resnest14d.gluon_in1k) | 10.6M | 2.8G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnest14d | 2023-04-24 |
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| [resnext50_32x4d.tv2_in1k](https://huggingface.co/timm/resnext50_32x4d.tv2_in1k) | 25.0M | 2.7G | 176 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext50_32x4d | 2023-04-06 |
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| [seresnext26t_32x4d.bt_in1k](https://huggingface.co/timm/seresnext26t_32x4d.bt_in1k) | 16.8M | 2.7G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | seresnext26t_32x4d | 2023-04-06 |
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models.parquet
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resnet26t.ra2_in1k/meta.json
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resnet26t.ra2_in1k/model.onnx
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resnet26t.ra2_in1k/preprocess.json
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