Export model 'seresnet152d.ra2_in1k', on 2025-01-20 06:16:21 UTC
Browse files- README.md +3 -2
- models.parquet +2 -2
- seresnet152d.ra2_in1k/meta.json +3 -0
- seresnet152d.ra2_in1k/model.onnx +3 -0
- seresnet152d.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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| [resnet200d.ra2_in1k](https://huggingface.co/timm/resnet200d.ra2_in1k) | 64.7M | 20.1G | 256 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet200d | 2023-04-05 |
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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.tv_in1k](https://huggingface.co/timm/resnet152.tv_in1k) | 60.2M | 11.6G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet152 | 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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# Models
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351 models exported from TIMM in total.
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## Beit
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## ResNet
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52 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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| [resnet200d.ra2_in1k](https://huggingface.co/timm/resnet200d.ra2_in1k) | 64.7M | 20.1G | 256 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet200d | 2023-04-05 |
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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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| [seresnet152d.ra2_in1k](https://huggingface.co/timm/seresnet152d.ra2_in1k) | 66.8M | 15.5G | 256 | True | 2048 | 1000 | imagenet-1k | ResNet | seresnet152d | 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.tv_in1k](https://huggingface.co/timm/resnet152.tv_in1k) | 60.2M | 11.6G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet152 | 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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models.parquet
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size 29047
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seresnet152d.ra2_in1k/meta.json
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size 169799
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seresnet152d.ra2_in1k/model.onnx
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size 267284690
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seresnet152d.ra2_in1k/preprocess.json
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size 734
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