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Export model 'coatnet_rmlp_1_rw_224.sw_in1k', on 2025-01-20 04:23:35 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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- 128 models exported from TIMM in total.
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  ## ByobNet
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@@ -281,13 +281,14 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
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  ## MaxxVit
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- 5 models with model class `MaxxVit`.
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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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  | [maxvit_small_tf_384.in1k](https://huggingface.co/timm/maxvit_small_tf_384.in1k) | 68.7M | 33.1G | 384 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_small_tf_384 | 2022-12-02 |
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  | [maxvit_tiny_tf_512.in1k](https://huggingface.co/timm/maxvit_tiny_tf_512.in1k) | 30.8M | 27.9G | 512 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_tiny_tf_512 | 2022-12-02 |
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  | [coatnet_2_rw_224.sw_in12k](https://huggingface.co/timm/coatnet_2_rw_224.sw_in12k) | 84.7M | 14.5G | 224 | True | 1024 | 11821 | imagenet-12k | MaxxVit | coatnet_2_rw_224 | 2023-01-20 |
 
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  | [maxxvitv2_nano_rw_256.sw_in1k](https://huggingface.co/timm/maxxvitv2_nano_rw_256.sw_in1k) | 23.7M | 6.1G | 256 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxxvitv2_nano_rw_256 | 2023-01-20 |
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  | [coatnet_bn_0_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_bn_0_rw_224.sw_in1k) | 27.4M | 4.5G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_bn_0_rw_224 | 2023-01-20 |
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  # Models
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+ 129 models exported from TIMM in total.
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  ## ByobNet
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  ## MaxxVit
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+ 6 models with model class `MaxxVit`.
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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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  | [maxvit_small_tf_384.in1k](https://huggingface.co/timm/maxvit_small_tf_384.in1k) | 68.7M | 33.1G | 384 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxvit_small_tf_384 | 2022-12-02 |
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  | [maxvit_tiny_tf_512.in1k](https://huggingface.co/timm/maxvit_tiny_tf_512.in1k) | 30.8M | 27.9G | 512 | True | 512 | 1000 | imagenet-1k | MaxxVit | maxvit_tiny_tf_512 | 2022-12-02 |
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  | [coatnet_2_rw_224.sw_in12k](https://huggingface.co/timm/coatnet_2_rw_224.sw_in12k) | 84.7M | 14.5G | 224 | True | 1024 | 11821 | imagenet-12k | MaxxVit | coatnet_2_rw_224 | 2023-01-20 |
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+ | [coatnet_rmlp_1_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_rmlp_1_rw_224.sw_in1k) | 41.6M | 7.4G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_rmlp_1_rw_224 | 2023-01-20 |
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  | [maxxvitv2_nano_rw_256.sw_in1k](https://huggingface.co/timm/maxxvitv2_nano_rw_256.sw_in1k) | 23.7M | 6.1G | 256 | True | 768 | 1000 | imagenet-1k | MaxxVit | maxxvitv2_nano_rw_256 | 2023-01-20 |
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  | [coatnet_bn_0_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_bn_0_rw_224.sw_in1k) | 27.4M | 4.5G | 224 | True | 768 | 1000 | imagenet-1k | MaxxVit | coatnet_bn_0_rw_224 | 2023-01-20 |
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