narugo1992 commited on
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Export model 'resnest50d_4s2x40d.in1k', on 2025-01-20 07:27:17 UTC

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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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- 495 models exported from TIMM in total.
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  ## Beit
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@@ -704,7 +704,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## ResNet
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- 77 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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  |:-----------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------|:-------------|
@@ -744,6 +744,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [resnext50d_32x4d.bt_in1k](https://huggingface.co/timm/resnext50d_32x4d.bt_in1k) | 25.0M | 4.5G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext50d_32x4d | 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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  | [resnest50d_1s4x24d.in1k](https://huggingface.co/timm/resnest50d_1s4x24d.in1k) | 25.7M | 4.5G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnest50d_1s4x24d | 2023-04-23 |
 
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  | [ecaresnet50d.miil_in1k](https://huggingface.co/timm/ecaresnet50d.miil_in1k) | 25.6M | 4.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | ecaresnet50d | 2023-04-05 |
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  | [resnet50d.a2_in1k](https://huggingface.co/timm/resnet50d.a2_in1k) | 25.6M | 4.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet50d | 2023-04-05 |
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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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  # Models
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+ 496 models exported from TIMM in total.
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  ## Beit
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  ## ResNet
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+ 78 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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  | [resnext50d_32x4d.bt_in1k](https://huggingface.co/timm/resnext50d_32x4d.bt_in1k) | 25.0M | 4.5G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnext50d_32x4d | 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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  | [resnest50d_1s4x24d.in1k](https://huggingface.co/timm/resnest50d_1s4x24d.in1k) | 25.7M | 4.5G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnest50d_1s4x24d | 2023-04-23 |
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+ | [resnest50d_4s2x40d.in1k](https://huggingface.co/timm/resnest50d_4s2x40d.in1k) | 30.4M | 4.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnest50d_4s2x40d | 2023-04-23 |
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  | [ecaresnet50d.miil_in1k](https://huggingface.co/timm/ecaresnet50d.miil_in1k) | 25.6M | 4.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | ecaresnet50d | 2023-04-05 |
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  | [resnet50d.a2_in1k](https://huggingface.co/timm/resnet50d.a2_in1k) | 25.6M | 4.4G | 224 | True | 2048 | 1000 | imagenet-1k | ResNet | resnet50d | 2023-04-05 |
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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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