narugo1992 commited on
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Export model 'efficientnet_lite0.ra_in1k', on 2025-01-20 07:11:53 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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- 465 models exported from TIMM in total.
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  ## Beit
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@@ -280,7 +280,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientNet
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- 29 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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  |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -299,6 +299,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k) | 5.8M | 668.9M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_120d | 2022-12-13 |
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  | [mobilenetv1_100h.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100h.ra4_e3600_r224_in1k) | 5.3M | 620.2M | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | mobilenetv1_100h | 2024-07-25 |
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  | [mobilenetv2_140.ra_in1k](https://huggingface.co/timm/mobilenetv2_140.ra_in1k) | 6.1M | 582.3M | 224 | True | 1792 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_140 | 2022-12-13 |
 
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  | [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 | 2022-12-12 |
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  | [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 |
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  | [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 |
 
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  # Models
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+ 466 models exported from TIMM in total.
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  ## Beit
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  ## EfficientNet
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+ 30 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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  | [mobilenetv2_120d.ra_in1k](https://huggingface.co/timm/mobilenetv2_120d.ra_in1k) | 5.8M | 668.9M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_120d | 2022-12-13 |
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  | [mobilenetv1_100h.ra4_e3600_r224_in1k](https://huggingface.co/timm/mobilenetv1_100h.ra4_e3600_r224_in1k) | 5.3M | 620.2M | 224 | True | 1024 | 1000 | imagenet-1k | EfficientNet | mobilenetv1_100h | 2024-07-25 |
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  | [mobilenetv2_140.ra_in1k](https://huggingface.co/timm/mobilenetv2_140.ra_in1k) | 6.1M | 582.3M | 224 | True | 1792 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_140 | 2022-12-13 |
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+ | [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 | 2022-12-12 |
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  | [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 | 2022-12-12 |
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  | [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 |
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  | [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 |
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