narugo1992 commited on
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Export model 'efficientnet_b1.ft_in1k', on 2025-01-20 22:15:42 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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- 991 models exported from TIMM in total.
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  ## Beit
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@@ -388,7 +388,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientNet
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- 49 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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  |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -415,6 +415,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k) | 5.8M | 668.9M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_120d | 2022-12-13 |
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  | [mobilenetv1_100h.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100h.ra4_e3600_r224_in1k) | 5.3M | 620.2M | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | mobilenetv1_100h | 2024-07-26 |
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  | [mobilenetv2_140.ra_in1k](https://huggingface.co/timm/mobilenetv2_140.ra_in1k) | 6.1M | 582.3M | 224 | True | 1792 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_140 | 2022-12-13 |
 
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  | [mobilenetv1_100.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100.ra4_e3600_r224_in1k) | 4.2M | 568.8M | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | mobilenetv1_100 | 2024-07-26 |
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  | [mixnet_l.ft_in1k](https://huggingface.co/timm/mixnet_l.ft_in1k) | 7.3M | 555.3M | 224 | True | 1536 | 1000 | imagenet-1k | EfficientNet | mixnet_l | 2022-12-13 |
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  | [mobilenetv2_110d.ra_in1k](https://huggingface.co/timm/mobilenetv2_110d.ra_in1k) | 4.5M | 430.6M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_110d | 2022-12-13 |
 
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  # Models
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+ 992 models exported from TIMM in total.
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  ## Beit
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  ## EfficientNet
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+ 50 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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  | [mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k) | 5.8M | 668.9M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_120d | 2022-12-13 |
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  | [mobilenetv1_100h.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100h.ra4_e3600_r224_in1k) | 5.3M | 620.2M | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | mobilenetv1_100h | 2024-07-26 |
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  | [mobilenetv2_140.ra_in1k](https://huggingface.co/timm/mobilenetv2_140.ra_in1k) | 6.1M | 582.3M | 224 | True | 1792 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_140 | 2022-12-13 |
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+ | [efficientnet_b1.ft_in1k](https://huggingface.co/timm/efficientnet_b1.ft_in1k) | 7.7M | 569.7M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | efficientnet_b1 | 2022-12-13 |
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  | [mobilenetv1_100.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100.ra4_e3600_r224_in1k) | 4.2M | 568.8M | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | mobilenetv1_100 | 2024-07-26 |
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  | [mixnet_l.ft_in1k](https://huggingface.co/timm/mixnet_l.ft_in1k) | 7.3M | 555.3M | 224 | True | 1536 | 1000 | imagenet-1k | EfficientNet | mixnet_l | 2022-12-13 |
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  | [mobilenetv2_110d.ra_in1k](https://huggingface.co/timm/mobilenetv2_110d.ra_in1k) | 4.5M | 430.6M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_110d | 2022-12-13 |
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