Export model 'coatnet_rmlp_2_rw_224.sw_in12k', on 2025-01-20 08:19:01 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-557 models exported from TIMM in total.
+558 models exported from TIMM in total.
 
 ## Beit
 
@@ -497,13 +497,14 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MaxxVit
 
-19 models with model class `MaxxVit`.
+20 models with model class `MaxxVit`.
 
 | Name                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture              | Created At   |
 |:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------------|:-------------|
 | [maxvit_small_tf_512.in1k](https://huggingface.co/timm/maxvit_small_tf_512.in1k)                               | 68.7M    | 58.9G   |          512 | True           |        768 |      1000 | imagenet-1k  | MaxxVit | maxvit_small_tf_512       | 2022-12-02   |
 | [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_rmlp_2_rw_224.sw_in12k](https://huggingface.co/timm/coatnet_rmlp_2_rw_224.sw_in12k)                   | 84.9M    | 14.6G   |          224 | True           |       1024 |     11821 | imagenet-12k | MaxxVit | coatnet_rmlp_2_rw_224     | 2023-01-20   |
 | [coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k)   | 73.8M    | 14.6G   |          224 | True           |       1024 |      1000 | imagenet-1k  | MaxxVit | coatnet_rmlp_2_rw_224     | 2023-01-20   |
 | [coatnet_rmlp_2_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_rmlp_2_rw_224.sw_in1k)                     | 73.8M    | 14.6G   |          224 | True           |       1024 |      1000 | imagenet-1k  | MaxxVit | coatnet_rmlp_2_rw_224     | 2023-01-20   |
 | [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_2_rw_224.sw_in12k/meta.json

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coatnet_rmlp_2_rw_224.sw_in12k/model.onnx

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coatnet_rmlp_2_rw_224.sw_in12k/preprocess.json

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models.parquet

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