Export model 'semnasnet_100.rmsp_in1k', on 2025-01-19 18:39:18 UTC

README.md

@@ -76,6 +76,7 @@ base_model:
 - timm/resnext50_32x4d.fb_swsl_ig1b_ft_in1k
 - timm/resnext101_32x8d.tv_in1k
 - timm/rexnetr_300.sw_in12k_ft_in1k
+- timm/semnasnet_100.rmsp_in1k
 - timm/skresnext50_32x4d.ra_in1k
 - timm/swin_base_patch4_window7_224.ms_in1k
 - timm/swin_s3_small_224.ms_in1k
@@ -101,7 +102,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-87 models exported from TIMM in total.
+88 models exported from TIMM in total.
 
 ## ByobNet
 
@@ -156,13 +157,14 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-4 models with model class `EfficientNet`.
+5 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
 | [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        | 2022-12-12   |
 | [mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k) | 8.4M     | 1.8G    |          224 | True           |       1344 |      1000 | imagenet-1k  | EfficientNet | mobilenet_edgetpu_v2_m | 2024-07-29   |
 | [efficientnet_es_pruned.in1k](https://huggingface.co/timm/efficientnet_es_pruned.in1k)                               | 5.4M     | 1.8G    |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | efficientnet_es_pruned | 2022-12-12   |
+| [semnasnet_100.rmsp_in1k](https://huggingface.co/timm/semnasnet_100.rmsp_in1k)                                       | 3.9M     | 311.6M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | semnasnet_100          | 2022-12-13   |
 | [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k)                                       | 3.5M     | 300.8M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | mobilenetv2_100        | 2022-12-13   |
 
 ## EfficientVit

models.parquet

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