narugo1992 commited on
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Export model 'efficientvit_b0.r224_in1k', on 2025-01-20 20:11:07 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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- 843 models exported from TIMM in total.
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  ## Beit
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@@ -411,7 +411,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## EfficientVit
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- 6 models with model class `EfficientVit`.
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  | Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
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  |:-----------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:-------------|:----------------|:-------------|
@@ -421,6 +421,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  | [efficientvit_b2.r224_in1k](https://huggingface.co/timm/efficientvit_b2.r224_in1k) | 24.3M | 1.6G | 224 | True | 2560 | 1000 | imagenet-1k | EfficientVit | efficientvit_b2 | 2023-08-19 |
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  | [efficientvit_b1.r288_in1k](https://huggingface.co/timm/efficientvit_b1.r288_in1k) | 9.1M | 871.0M | 288 | True | 1600 | 1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-19 |
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  | [efficientvit_b1.r256_in1k](https://huggingface.co/timm/efficientvit_b1.r256_in1k) | 9.1M | 689.0M | 256 | True | 1600 | 1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-19 |
 
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  ## EfficientVitLarge
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  # Models
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+ 844 models exported from TIMM in total.
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  ## Beit
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  ## EfficientVit
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+ 7 models with model class `EfficientVit`.
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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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  | [efficientvit_b2.r224_in1k](https://huggingface.co/timm/efficientvit_b2.r224_in1k) | 24.3M | 1.6G | 224 | True | 2560 | 1000 | imagenet-1k | EfficientVit | efficientvit_b2 | 2023-08-19 |
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  | [efficientvit_b1.r288_in1k](https://huggingface.co/timm/efficientvit_b1.r288_in1k) | 9.1M | 871.0M | 288 | True | 1600 | 1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-19 |
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  | [efficientvit_b1.r256_in1k](https://huggingface.co/timm/efficientvit_b1.r256_in1k) | 9.1M | 689.0M | 256 | True | 1600 | 1000 | imagenet-1k | EfficientVit | efficientvit_b1 | 2023-08-19 |
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+ | [efficientvit_b0.r224_in1k](https://huggingface.co/timm/efficientvit_b0.r224_in1k) | 3.4M | 105.5M | 224 | True | 1280 | 1000 | imagenet-1k | EfficientVit | efficientvit_b0 | 2023-08-19 |
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  ## EfficientVitLarge
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