Export model 'efficientnet_b1_pruned.in1k', on 2025-01-20 19:23:30 JST

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-771 models exported from TIMM in total.
+772 models exported from TIMM in total.
 
 ## Beit
 
@@ -350,7 +350,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-39 models with model class `EfficientNet`.
+40 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -378,6 +378,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [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_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   |
 | [mixnet_m.ft_in1k](https://huggingface.co/timm/mixnet_m.ft_in1k)                                                     | 5.0M     | 339.2M  |          224 | True           |       1536 |      1000 | imagenet-1k  | EfficientNet | mixnet_m               | 2022-12-13   |
 | [tinynet_a.in1k](https://huggingface.co/timm/tinynet_a.in1k)                                                         | 6.1M     | 336.9M  |          192 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | tinynet_a              | 2022-12-13   |
 | [mnasnet_100.rmsp_in1k](https://huggingface.co/timm/mnasnet_100.rmsp_in1k)                                           | 4.3M     | 314.5M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | mnasnet_100            | 2022-12-13   |

efficientnet_b1_pruned.in1k/meta.json

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efficientnet_b1_pruned.in1k/model.onnx

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efficientnet_b1_pruned.in1k/preprocess.json

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models.parquet

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