Export model 'maxvit_tiny_tf_512.in1k', on 2025-01-20 04:15:39 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-117 models exported from TIMM in total.
+118 models exported from TIMM in total.
 
 ## ByobNet
 
@@ -273,11 +273,12 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## MaxxVit
 
-4 models with model class `MaxxVit`.
+5 models with model class `MaxxVit`.
 
 | Name                                                                                       | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture          | Created At   |
 |:-------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:----------------------|:-------------|
 | [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_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   |
 | [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_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_tiny_tf_512.in1k/meta.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a372f0c4dca05082cc826d5311f4d14ca4565a68d5b12593f746fbe4fbd1dca9
+size 169809

maxvit_tiny_tf_512.in1k/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f6adf989cbcfd74f9be31f07c3b343c563d7987ac1c40d85e6e096576fd34fe
+size 168335486

maxvit_tiny_tf_512.in1k/preprocess.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f651c5d0e63094562057223012cc523cef870c71a6eb0b2b2f608ac7543e8d9
+size 695

models.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fdcccd476ad44aacef0cbc00a85931dd5adb42f71a7988b7fc7e0ae5c6d9fa4f
-size 16459
+oid sha256:81b39a2a4f89f9059787576435a5a7affb7fe0614dcaaf989ee1f1fcde25b6a2
+size 16520