Export model 'mobilenetv2_050.lamb_in1k', on 2025-01-20 07:18:19 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-480 models exported from TIMM in total.
+481 models exported from TIMM in total.
 
 ## Beit
 
@@ -284,7 +284,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## EfficientNet
 
-30 models with model class `EfficientNet`.
+31 models with model class `EfficientNet`.
 
 | Name                                                                                                                 | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model        | Architecture           | Created At   |
 |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -313,6 +313,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [semnasnet_075.rmsp_in1k](https://huggingface.co/timm/semnasnet_075.rmsp_in1k)                                       | 2.9M     | 223.5M  |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | semnasnet_075          | 2022-12-13   |
 | [tinynet_b.in1k](https://huggingface.co/timm/tinynet_b.in1k)                                                         | 3.7M     | 200.8M  |          188 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | tinynet_b              | 2022-12-13   |
 | [tinynet_c.in1k](https://huggingface.co/timm/tinynet_c.in1k)                                                         | 2.4M     | 99.6M   |          184 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | tinynet_c              | 2022-12-13   |
+| [mobilenetv2_050.lamb_in1k](https://huggingface.co/timm/mobilenetv2_050.lamb_in1k)                                   | 2.0M     | 97.2M   |          224 | True           |       1280 |      1000 | imagenet-1k  | EfficientNet | mobilenetv2_050        | 2022-12-13   |
 | [test_efficientnet_ln.r160_in1k](https://huggingface.co/timm/test_efficientnet_ln.r160_in1k)                         | 353.7K   | 57.3M   |          160 | True           |        256 |      1000 | imagenet-1k  | EfficientNet | test_efficientnet_ln   | 2024-09-22   |
 | [test_efficientnet_gn.r160_in1k](https://huggingface.co/timm/test_efficientnet_gn.r160_in1k)                         | 353.7K   | 57.3M   |          160 | True           |        256 |      1000 | imagenet-1k  | EfficientNet | test_efficientnet_gn   | 2024-09-22   |
 | [test_efficientnet_evos.r160_in1k](https://huggingface.co/timm/test_efficientnet_evos.r160_in1k)                     | 353.7K   | 57.3M   |          160 | True           |        256 |      1000 | imagenet-1k  | EfficientNet | test_efficientnet_evos | 2024-09-22   |

mobilenetv2_050.lamb_in1k/meta.json

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mobilenetv2_050.lamb_in1k/preprocess.json

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models.parquet

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