Export model 'efficientnet_b1.ra4_e3600_r240_in1k', on 2025-01-20 08:01:20 UTC

README.md

@@ -5,6 +5,7 @@ base_model:
 - timm/convnext_nano.r384_in12k_ft_in1k
 - timm/convnext_zepto_rms.ra4_e3600_r224_in1k
 - timm/cs3darknet_focus_s.ra4_e3600_r256_in1k
+- timm/efficientnet_b1.ra4_e3600_r240_in1k
 - timm/efficientvit_l1.r224_in1k
 - timm/efficientvit_l2.r224_in1k
 - timm/hgnet_small.ssld_in1k
@@ -21,7 +22,6 @@ base_model:
 - timm/hiera_small_224.mae_in1k_ft_in1k
 - timm/hiera_tiny_224.mae
 - timm/hiera_tiny_224.mae_in1k_ft_in1k
-- timm/inception_next_tiny.sail_in1k
 - timm/mambaout_base.in1k
 - timm/mambaout_base_short_rw.sw_e500_in1k
 - timm/mambaout_base_wide_rw.sw_e500_in1k
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-540 models exported from TIMM in total.
+541 models exported from TIMM in total.
 
 ## Beit
 
@@ -299,7 +299,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-34 models with model class `EfficientNet`.
+35 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -316,6 +316,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [mixnet_xl.ra_in1k](https://huggingface.co/timm/mixnet_xl.ra_in1k)                                                   | 11.8M    | 904.1M  |          224 | True           |       1536 |      1000 | imagenet-1k  | EfficientNet | mixnet_xl              | 2022-12-12   |
 | [efficientnet_b2.ra_in1k](https://huggingface.co/timm/efficientnet_b2.ra_in1k)                                       | 9.0M     | 859.9M  |          256 | True           |       1408 |      1000 | imagenet-1k  | EfficientNet | efficientnet_b2        | 2022-12-12   |
 | [efficientnet_b2_pruned.in1k](https://huggingface.co/timm/efficientnet_b2_pruned.in1k)                               | 6.8M     | 693.4M  |          260 | True           |       1408 |      1000 | imagenet-1k  | EfficientNet | efficientnet_b2_pruned | 2022-12-12   |
+| [efficientnet_b1.ra4_e3600_r240_in1k](https://huggingface.co/timm/efficientnet_b1.ra4_e3600_r240_in1k)               | 7.7M     | 686.9M  |          240 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_b1        | 2024-08-16   |
 | [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   |
 | [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       | 2024-07-25   |
 | [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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