narugo1992 commited on
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Export model 'mixnet_s.ft_in1k', on 2025-01-20 05:13:27 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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- 240 models exported from TIMM in total.
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  ## Beit
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@@ -229,7 +229,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientNet
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- 16 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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  |:---------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:-------------|:-----------------------|:-------------|
@@ -245,6 +245,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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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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  | [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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  | [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k) | 3.5M | 300.8M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_100 | 2022-12-13 |
 
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  | [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 |
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  | [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 |
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  | [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 |
 
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  # Models
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+ 241 models exported from TIMM in total.
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  ## Beit
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  ## EfficientNet
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+ 17 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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  | [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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  | [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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  | [mobilenetv2_100.ra_in1k](https://huggingface.co/timm/mobilenetv2_100.ra_in1k) | 3.5M | 300.8M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientNet | mobilenetv2_100 | 2022-12-13 |
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+ | [mixnet_s.ft_in1k](https://huggingface.co/timm/mixnet_s.ft_in1k) | 4.1M | 239.3M | 224 | True | 1536 | 1000 | imagenet-1k | EfficientNet | mixnet_s | 2022-12-12 |
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  | [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 |
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  | [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 |
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  | [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 |
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