narugo1992 commited on
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Export model 'regnety_160.swag_ft_in1k', on 2025-01-20 08:21:24 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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- 563 models exported from TIMM in total.
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  ## Beit
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@@ -680,10 +680,11 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## RegNet
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- 34 models with model class `RegNet`.
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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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  | [regnetx_160.tv2_in1k](https://huggingface.co/timm/regnetx_160.tv2_in1k) | 54.2M | 15.9G | 224 | True | 2048 | 1000 | imagenet-1k | RegNet | regnetx_160 | 2023-03-21 |
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  | [regnetx_160.pycls_in1k](https://huggingface.co/timm/regnetx_160.pycls_in1k) | 54.2M | 15.9G | 224 | True | 2048 | 1000 | imagenet-1k | RegNet | regnetx_160 | 2023-03-21 |
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  | [regnety_160.tv2_in1k](https://huggingface.co/timm/regnety_160.tv2_in1k) | 83.5M | 15.9G | 224 | True | 3024 | 1000 | imagenet-1k | RegNet | regnety_160 | 2023-03-21 |
 
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  # Models
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+ 564 models exported from TIMM in total.
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  ## Beit
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  ## RegNet
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+ 35 models with model class `RegNet`.
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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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+ | [regnety_160.swag_ft_in1k](https://huggingface.co/timm/regnety_160.swag_ft_in1k) | 83.5M | 46.7G | 384 | True | 3024 | 1000 | imagenet-1k | RegNet | regnety_160 | 2023-03-21 |
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  | [regnetx_160.tv2_in1k](https://huggingface.co/timm/regnetx_160.tv2_in1k) | 54.2M | 15.9G | 224 | True | 2048 | 1000 | imagenet-1k | RegNet | regnetx_160 | 2023-03-21 |
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  | [regnetx_160.pycls_in1k](https://huggingface.co/timm/regnetx_160.pycls_in1k) | 54.2M | 15.9G | 224 | True | 2048 | 1000 | imagenet-1k | RegNet | regnetx_160 | 2023-03-21 |
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  | [regnety_160.tv2_in1k](https://huggingface.co/timm/regnety_160.tv2_in1k) | 83.5M | 15.9G | 224 | True | 3024 | 1000 | imagenet-1k | RegNet | regnety_160 | 2023-03-21 |
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