narugo1992 commited on
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Export model 'gc_efficientnetv2_rw_t.agc_in1k', on 2025-01-20 05:06:17 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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- 223 models exported from TIMM in total.
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  ## Beit
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@@ -217,7 +217,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientNet
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- 14 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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  |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -225,6 +225,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [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 |
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  | [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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  | [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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  | [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 |
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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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  # Models
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+ 224 models exported from TIMM in total.
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  ## Beit
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  ## EfficientNet
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+ 15 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_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 |
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  | [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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  | [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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+ | [gc_efficientnetv2_rw_t.agc_in1k](https://huggingface.co/timm/gc_efficientnetv2_rw_t.agc_in1k) | 13.6M | 1.9G | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | gc_efficientnetv2_rw_t | 2022-12-12 |
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  | [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 |
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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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