Export model 'maxvit_rmlp_tiny_rw_256.sw_in1k', on 2025-01-20 07:14:40 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-473 models exported from TIMM in total.
+474 models exported from TIMM in total.
 
 ## Beit
 
@@ -465,7 +465,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MaxxVit
 
-17 models with model class `MaxxVit`.
+18 models with model class `MaxxVit`.
 
 | Name                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture              | Created At   |
 |:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------------|:-------------|
@@ -479,6 +479,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [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_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   |
 | [maxvit_tiny_tf_224.in1k](https://huggingface.co/timm/maxvit_tiny_tf_224.in1k)                                 | 30.8M    | 5.3G    |          224 | True           |        512 |      1000 | imagenet-1k  | MaxxVit | maxvit_tiny_tf_224        | 2022-12-02   |
 | [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   |

maxvit_rmlp_tiny_rw_256.sw_in1k/meta.json

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maxvit_rmlp_tiny_rw_256.sw_in1k/model.onnx

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maxvit_rmlp_tiny_rw_256.sw_in1k/preprocess.json

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models.parquet

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