Export model 'coatnet_2_rw_224.sw_in12k_ft_in1k', on 2025-01-20 06:10:03 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-338 models exported from TIMM in total.
+339 models exported from TIMM in total.
 
 ## Beit
 
@@ -422,7 +422,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MaxxVit
 
-12 models with model class `MaxxVit`.
+13 models with model class `MaxxVit`.
 
 | Name                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture              | Created At   |
 |:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------------|:-------------|
@@ -431,6 +431,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [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_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_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_2_rw_224.sw_in12k_ft_in1k](https://huggingface.co/timm/coatnet_2_rw_224.sw_in12k_ft_in1k)             | 73.6M    | 14.5G   |          224 | True           |       1024 |      1000 | imagenet-1k  | MaxxVit | coatnet_2_rw_224          | 2023-01-20   |
 | [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_2_rw_224.sw_in12k_ft_in1k/meta.json

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coatnet_2_rw_224.sw_in12k_ft_in1k/model.onnx

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coatnet_2_rw_224.sw_in12k_ft_in1k/preprocess.json

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+size 642

models.parquet

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