narugo1992 commited on
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Export model 'resnet50d.a3_in1k', on 2025-01-20 20:41:37 JST

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README.md CHANGED
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  # Models
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- 891 models exported from TIMM in total.
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  ## Beit
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@@ -952,7 +952,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## ResNet
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- 137 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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  |:-----------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------|:-------------|
@@ -1077,6 +1077,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [resnet26d.bt_in1k](https://huggingface.co/timm/resnet26d.bt_in1k) | 16.0M | 2.6G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet26d | 2023-04-06 |
1078
  | [ecaresnet50d_pruned.miil_in1k](https://huggingface.co/timm/ecaresnet50d_pruned.miil_in1k) | 17.9M | 2.5G | 224 | True | 2022 | 1000 | imagenet-1k | ResNet | ecaresnet50d_pruned | 2023-04-06 |
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  | [resnet26.bt_in1k](https://huggingface.co/timm/resnet26.bt_in1k) | 16.0M | 2.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet26 | 2023-04-06 |
 
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  | [ecaresnet50t.a3_in1k](https://huggingface.co/timm/ecaresnet50t.a3_in1k) | 25.6M | 2.2G | 160 | True | 2048 | 1000 | imagenet-1k | ResNet | ecaresnet50t | 2023-04-06 |
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  | [resnext50_32x4d.a3_in1k](https://huggingface.co/timm/resnext50_32x4d.a3_in1k) | 25.0M | 2.2G | 160 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext50_32x4d | 2023-04-06 |
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  | [seresnet50.a3_in1k](https://huggingface.co/timm/seresnet50.a3_in1k) | 28.1M | 2.1G | 160 | True | 2048 | 1000 | imagenet-1k | ResNet | seresnet50 | 2023-04-06 |
 
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  # Models
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+ 892 models exported from TIMM in total.
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  ## Beit
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  ## ResNet
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+ 138 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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  | [resnet26d.bt_in1k](https://huggingface.co/timm/resnet26d.bt_in1k) | 16.0M | 2.6G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet26d | 2023-04-06 |
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  | [ecaresnet50d_pruned.miil_in1k](https://huggingface.co/timm/ecaresnet50d_pruned.miil_in1k) | 17.9M | 2.5G | 224 | True | 2022 | 1000 | imagenet-1k | ResNet | ecaresnet50d_pruned | 2023-04-06 |
1079
  | [resnet26.bt_in1k](https://huggingface.co/timm/resnet26.bt_in1k) | 16.0M | 2.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet26 | 2023-04-06 |
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+ | [resnet50d.a3_in1k](https://huggingface.co/timm/resnet50d.a3_in1k) | 25.6M | 2.2G | 160 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet50d | 2023-04-06 |
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  | [ecaresnet50t.a3_in1k](https://huggingface.co/timm/ecaresnet50t.a3_in1k) | 25.6M | 2.2G | 160 | True | 2048 | 1000 | imagenet-1k | ResNet | ecaresnet50t | 2023-04-06 |
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  | [resnext50_32x4d.a3_in1k](https://huggingface.co/timm/resnext50_32x4d.a3_in1k) | 25.0M | 2.2G | 160 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext50_32x4d | 2023-04-06 |
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  | [seresnet50.a3_in1k](https://huggingface.co/timm/seresnet50.a3_in1k) | 28.1M | 2.1G | 160 | True | 2048 | 1000 | imagenet-1k | ResNet | seresnet50 | 2023-04-06 |
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