Export model 'maxvit_tiny_tf_224.in1k', on 2025-01-20 06:58:53 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-432 models exported from TIMM in total.
+433 models exported from TIMM in total.
 
 ## Beit
 
@@ -449,7 +449,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MaxxVit
 
-15 models with model class `MaxxVit`.
+16 models with model class `MaxxVit`.
 
 | Name                                                                                                           | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture              | Created At   |
 |:---------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------------|:-------------|
@@ -464,6 +464,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [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   |
+| [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_nano_rw_256.sw_in1k](https://huggingface.co/timm/maxvit_nano_rw_256.sw_in1k)                           | 15.4M    | 4.2G    |          256 | True           |        512 |      1000 | imagenet-1k  | MaxxVit | maxvit_nano_rw_256        | 2023-01-20   |
 | [coatnet_0_rw_224.sw_in1k](https://huggingface.co/timm/coatnet_0_rw_224.sw_in1k)                               | 27.3M    | 4.2G    |          224 | True           |        768 |      1000 | imagenet-1k  | MaxxVit | coatnet_0_rw_224          | 2023-01-20   |

maxvit_tiny_tf_224.in1k/meta.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be6879728fdf5a597b1eb7e424e9b2b21733b4d256a8364d271cc77afeab156a
+size 169808

maxvit_tiny_tf_224.in1k/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1731df41f78b86c3cad8b2e89f5e5d8f111596db58564b380d17fa8fb08f1fc
+size 125908258

maxvit_tiny_tf_224.in1k/preprocess.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b37bcb7130e7738caf023d84cc7798d76ec9bfa5f2fe005d624cf82db0e21be0
+size 734

models.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50776db5d7069f07a750540ab52af74e31aad9a265092ac55ead0fe720709bc0
-size 32681
+oid sha256:634f799b08e08da405eedec21073e9eb24171e86d1ec32e669047e5a60736885
+size 32766