Export model 'coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k', on 2025-01-20 04:38:05 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-156 models exported from TIMM in total.
+157 models exported from TIMM in total.
 
 ## ByobNet
 
@@ -312,16 +312,17 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MaxxVit
 
-6 models with model class `MaxxVit`.
-
-| Name                                                                                       | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture          | Created At   |
-|:-------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:----------------------|:-------------|
-| [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   |
-| [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   |
-| [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   |
-| [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   |
-| [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   |
-| [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   |
+7 models with model class `MaxxVit`.
+
+| Name                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture           | Created At   |
+|:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:-----------------------|:-------------|
+| [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   |
+| [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   |
+| [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   |
+| [coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k) | 41.7M    | 7.7G    |          224 | True           |        768 |      1000 | imagenet-1k  | MaxxVit | coatnet_rmlp_1_rw2_224 | 2023-01-20   |
+| [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   |
+| [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   |
+| [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   |
 
 ## MetaFormer
 

coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k/meta.json

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+size 169844

coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k/model.onnx

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coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k/preprocess.json

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+size 642

models.parquet

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