Export model 'efficientnet_b3_pruned.in1k', on 2025-01-20 07:21:56 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-484 models exported from TIMM in total.
+485 models exported from TIMM in total.
 
 ## Beit
 
@@ -284,7 +284,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-31 models with model class `EfficientNet`.
+32 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -297,6 +297,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [efficientnetv2_rw_t.ra2_in1k](https://huggingface.co/timm/efficientnetv2_rw_t.ra2_in1k)                             | 13.5M    | 1.9G    |          224 | True           |       1024 |      1000 | imagenet-1k  | EfficientNet | efficientnetv2_rw_t    | 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   |
+| [efficientnet_b3_pruned.in1k](https://huggingface.co/timm/efficientnet_b3_pruned.in1k)                               | 8.2M     | 987.5M  |          300 | True           |       1536 |      1000 | imagenet-1k  | EfficientNet | efficientnet_b3_pruned | 2022-12-12   |
 | [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   |

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efficientnet_b3_pruned.in1k/preprocess.json

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