Export model 'coatnet_1_rw_224.sw_in1k', on 2025-01-20 09:16:21 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-673 models exported from TIMM in total.
+674 models exported from TIMM in total.
 
 ## Beit
 
@@ -540,7 +540,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MaxxVit
 
-22 models with model class `MaxxVit`.
+23 models with model class `MaxxVit`.
 
 | Name                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture              | Created At   |
 |:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------------|:-------------|
@@ -555,6 +555,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [maxxvit_rmlp_small_rw_256.sw_in1k](https://huggingface.co/timm/maxxvit_rmlp_small_rw_256.sw_in1k)             | 65.9M    | 14.2G   |          256 | True           |        768 |      1000 | imagenet-1k  | MaxxVit | maxxvit_rmlp_small_rw_256 | 2023-01-20   |
 | [maxvit_small_tf_224.in1k](https://huggingface.co/timm/maxvit_small_tf_224.in1k)                               | 68.7M    | 11.3G   |          224 | True           |        768 |      1000 | imagenet-1k  | MaxxVit | maxvit_small_tf_224       | 2022-12-02   |
 | [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_1_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_1_rw_224.sw_in1k)                               | 41.5M    | 7.6G    |          224 | True           |        768 |      1000 | imagenet-1k  | MaxxVit | coatnet_1_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   |
 | [maxvit_rmlp_tiny_rw_256.sw_in1k](https://huggingface.co/timm/maxvit_rmlp_tiny_rw_256.sw_in1k)                 | 29.1M    | 6.4G    |          256 | True           |        512 |      1000 | imagenet-1k  | MaxxVit | maxvit_rmlp_tiny_rw_256   | 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_1_rw_224.sw_in1k/meta.json

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coatnet_1_rw_224.sw_in1k/model.onnx

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coatnet_1_rw_224.sw_in1k/preprocess.json

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+size 642

models.parquet

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+size 43063