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Export model 'efficientnet_em.ra2_in1k', on 2025-01-20 04:27:11 UTC

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README.md CHANGED
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  # Models
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- 131 models exported from TIMM in total.
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  ## ByobNet
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@@ -189,11 +189,12 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientNet
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- 8 models with model class `EfficientNet`.
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  | Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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  |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
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  | [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 |
 
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  | [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 |
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  | [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 |
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  | [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 |
 
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  # Models
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+ 132 models exported from TIMM in total.
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  ## ByobNet
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  ## EfficientNet
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+ 9 models with model class `EfficientNet`.
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  | Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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  |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
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  | [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 |
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+ | [efficientnet_em.ra2_in1k](https://huggingface.co/timm/efficientnet_em.ra2_in1k) | 6.8M | 3.0G | 240 | True | 1280 | 1000 | imagenet-1k | EfficientNet | efficientnet_em | 2022-12-12 |
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  | [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 |
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  | [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 |
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  | [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 |
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