Export model 'efficientnetv2_rw_m.agc_in1k', on 2025-01-20 06:41:08 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-400 models exported from TIMM in total.
+401 models exported from TIMM in total.
 
 ## Beit
 
@@ -268,10 +268,11 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-24 models with model class `EfficientNet`.
+25 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
+| [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    | 2022-12-12   |
 | [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   |
 | [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        | 2022-12-12   |
 | [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        | 2022-12-12   |

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