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Export model 'efficientnet_b5.sw_in12k_ft_in1k', on 2025-01-20 19:24:19 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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- 774 models exported from TIMM in total.
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  ## Beit
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@@ -350,11 +350,12 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientNet
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- 40 models with model class `EfficientNet`.
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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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  | [efficientnetv2_rw_m.agc_in1k](https://huggingface.co/timm/efficientnetv2_rw_m.agc_in1k) | 52.9M | 12.6G | 320 | True | 2152 | 1000 | imagenet-1k | EfficientNet | efficientnetv2_rw_m | 2022-12-13 |
 
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  | [efficientnet_b5.sw_in12k](https://huggingface.co/timm/efficientnet_b5.sw_in12k) | 52.4M | 8.1G | 416 | True | 2048 | 11821 | imagenet-12k | EfficientNet | efficientnet_b5 | 2022-12-13 |
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  | [efficientnet_el.ra_in1k](https://huggingface.co/timm/efficientnet_el.ra_in1k) | 10.5M | 7.9G | 300 | True | 1536 | 1000 | imagenet-1k | EfficientNet | efficientnet_el | 2022-12-13 |
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  | [efficientnet_b4.ra2_in1k](https://huggingface.co/timm/efficientnet_b4.ra2_in1k) | 19.2M | 3.1G | 320 | True | 1792 | 1000 | imagenet-1k | EfficientNet | efficientnet_b4 | 2022-12-13 |
 
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  # Models
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+ 775 models exported from TIMM in total.
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  ## Beit
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  ## EfficientNet
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+ 41 models with model class `EfficientNet`.
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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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  | [efficientnetv2_rw_m.agc_in1k](https://huggingface.co/timm/efficientnetv2_rw_m.agc_in1k) | 52.9M | 12.6G | 320 | True | 2152 | 1000 | imagenet-1k | EfficientNet | efficientnetv2_rw_m | 2022-12-13 |
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+ | [efficientnet_b5.sw_in12k_ft_in1k](https://huggingface.co/timm/efficientnet_b5.sw_in12k_ft_in1k) | 30.2M | 9.4G | 448 | True | 2048 | 1000 | imagenet-1k | EfficientNet | efficientnet_b5 | 2022-12-13 |
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  | [efficientnet_b5.sw_in12k](https://huggingface.co/timm/efficientnet_b5.sw_in12k) | 52.4M | 8.1G | 416 | True | 2048 | 11821 | imagenet-12k | EfficientNet | efficientnet_b5 | 2022-12-13 |
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  | [efficientnet_el.ra_in1k](https://huggingface.co/timm/efficientnet_el.ra_in1k) | 10.5M | 7.9G | 300 | True | 1536 | 1000 | imagenet-1k | EfficientNet | efficientnet_el | 2022-12-13 |
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  | [efficientnet_b4.ra2_in1k](https://huggingface.co/timm/efficientnet_b4.ra2_in1k) | 19.2M | 3.1G | 320 | True | 1792 | 1000 | imagenet-1k | EfficientNet | efficientnet_b4 | 2022-12-13 |
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