narugo1992 commited on
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Export model 'mixnet_m.ft_in1k', on 2025-01-20 19:01:10 JST

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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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- 738 models exported from TIMM in total.
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  ## Beit
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@@ -342,7 +342,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientNet
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- 37 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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  |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -369,6 +369,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [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 |
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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 | 2022-12-13 |
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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 | 2022-12-13 |
 
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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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  | [semnasnet_100.rmsp_in1k](https://huggingface.co/timm/semnasnet_100.rmsp_in1k) | 3.9M | 311.6M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | semnasnet_100 | 2022-12-13 |
 
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  # Models
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+ 739 models exported from TIMM in total.
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  ## Beit
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  ## EfficientNet
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+ 38 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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  | [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 |
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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 | 2022-12-13 |
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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 | 2022-12-13 |
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+ | [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 |
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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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  | [semnasnet_100.rmsp_in1k](https://huggingface.co/timm/semnasnet_100.rmsp_in1k) | 3.9M | 311.6M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | semnasnet_100 | 2022-12-13 |
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