Export model 'efficientnet_b0.ra4_e3600_r224_in1k', on 2025-01-20 20:38:40 JST

README.md

@@ -7,6 +7,7 @@ base_model:
 - timm/convnext_zepto_rms.ra4_e3600_r224_in1k
 - timm/convnext_zepto_rms_ols.ra4_e3600_r224_in1k
 - timm/cs3darknet_focus_s.ra4_e3600_r256_in1k
+- timm/efficientnet_b0.ra4_e3600_r224_in1k
 - timm/efficientnet_b1.ra4_e3600_r240_in1k
 - timm/ese_vovnet57b.ra4_e3600_r256_in1k
 - timm/hiera_base_224.mae
@@ -90,7 +91,6 @@ base_model:
 - timm/vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k
 - timm/vit_little_patch16_reg1_gap_256.sbb_in12k
 - timm/vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k
-- timm/vit_medium_patch16_reg4_gap_256.sbb_in1k
 - timm/vit_medium_patch16_reg4_gap_256.sbb_in12k
 - timm/vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k
 - timm/vit_medium_patch16_rope_reg1_gap_256.sbb_in1k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-885 models exported from TIMM in total.
+886 models exported from TIMM in total.
 
 ## Beit
 
@@ -370,7 +370,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-43 models with model class `EfficientNet`.
+44 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -398,6 +398,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [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   |
 | [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   |
 | [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   |
+| [efficientnet_b0.ra4_e3600_r224_in1k](https://huggingface.co/timm/efficientnet_b0.ra4_e3600_r224_in1k)               | 5.2M     | 385.9M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_b0        | 2024-07-26   |
 | [efficientnet_lite0.ra_in1k](https://huggingface.co/timm/efficientnet_lite0.ra_in1k)                                 | 4.6M     | 385.3M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_lite0     | 2022-12-13   |
 | [fbnetc_100.rmsp_in1k](https://huggingface.co/timm/fbnetc_100.rmsp_in1k)                                             | 5.5M     | 385.1M  |          224 | True           |       1984 |      1000 | imagenet-1k  | EfficientNet | fbnetc_100             | 2022-12-13   |
 | [efficientnet_b1_pruned.in1k](https://huggingface.co/timm/efficientnet_b1_pruned.in1k)                               | 5.0M     | 373.1M  |          240 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_b1_pruned | 2022-12-13   |

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