Export model 'resnet50.a1h_in1k', on 2025-01-20 08:07:50 UTC

README.md

@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-544 models exported from TIMM in total.
+545 models exported from TIMM in total.
 
 ## Beit
 
@@ -739,7 +739,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 ## ResNet
 
-81 models with model class `ResNet`.
+82 models with model class `ResNet`.
 
 | Name                                                                                                             | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset      | Model   | Architecture        | Created At   |
 |:-----------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:--------|:--------------------|:-------------|
@@ -813,6 +813,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 | [resnet34.a2_in1k](https://huggingface.co/timm/resnet34.a2_in1k)                                                 | 21.8M    | 3.7G    |          224 | True           |        512 |      1000 | imagenet-1k  | ResNet  | resnet34            | 2023-04-05   |
 | [resnest26d.gluon_in1k](https://huggingface.co/timm/resnest26d.gluon_in1k)                                       | 17.1M    | 3.7G    |          224 | True           |       2048 |      1000 | imagenet-1k  | ResNet  | resnest26d          | 2023-04-23   |
 | [resnest14d.gluon_in1k](https://huggingface.co/timm/resnest14d.gluon_in1k)                                       | 10.6M    | 2.8G    |          224 | True           |       2048 |      1000 | imagenet-1k  | ResNet  | resnest14d          | 2023-04-23   |
+| [resnet50.a1h_in1k](https://huggingface.co/timm/resnet50.a1h_in1k)                                               | 25.6M    | 2.6G    |          176 | True           |       2048 |      1000 | imagenet-1k  | ResNet  | resnet50            | 2023-04-05   |
 | [resnet26d.bt_in1k](https://huggingface.co/timm/resnet26d.bt_in1k)                                               | 16.0M    | 2.6G    |          224 | True           |       2048 |      1000 | imagenet-1k  | ResNet  | resnet26d           | 2023-04-05   |
 | [ecaresnet50d_pruned.miil_in1k](https://huggingface.co/timm/ecaresnet50d_pruned.miil_in1k)                       | 17.9M    | 2.5G    |          224 | True           |       2022 |      1000 | imagenet-1k  | ResNet  | ecaresnet50d_pruned | 2023-04-05   |
 | [resnext50_32x4d.a3_in1k](https://huggingface.co/timm/resnext50_32x4d.a3_in1k)                                   | 25.0M    | 2.2G    |          160 | True           |       2048 |      1000 | imagenet-1k  | ResNet  | resnext50_32x4d     | 2023-04-05   |

models.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2367f534ac3ee9781e7d6a7dd682fdc1f09039140818cdb1bd1d2e524a5433d7
-size 37829
+oid sha256:1927610bd411a3042c4a79aa804294123e4b73257090e55e36aa88d4183fb7fd
+size 37910

resnet50.a1h_in1k/meta.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b4e96e23d8e946aaa8ea2de78d5f903136a9c773d74bb3806a1564941cb854f
+size 169786

resnet50.a1h_in1k/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb117dfd984e72a42aadcefae74455001d09e411b02110fe225c71842b6464c5
+size 102161275

resnet50.a1h_in1k/preprocess.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b86d7f97a91cc63979766d28f23fe4b97926c670bbe3b5d50917e95dcfffac2
+size 734