Export model 'ecaresnet50t.a1_in1k', on 2025-01-19 18:10:16 UTC

README.md

@@ -5,6 +5,7 @@ base_model:
 - timm/convmixer_1024_20_ks9_p14.in1k
 - timm/convnext_nano.r384_in12k_ft_in1k
 - timm/convnextv2_atto.fcmae_ft_in1k
+- timm/ecaresnet50t.a1_in1k
 - timm/efficientvit_b1.r256_in1k
 - timm/ghostnetv2_100.in1k
 - timm/mobilenetv2_100.ra_in1k
@@ -30,7 +31,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
 
 # Models
 
-16 models exported from TIMM in total.
+17 models exported from TIMM in total.
 
 ByobNet
 
@@ -108,11 +109,12 @@ RegNet
 
 ResNet
 
-1 model with model class `ResNet`.
+2 models with model class `ResNet`.
 
-| Name                                                                   | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model   | Architecture   | Created At   |
-|:-----------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:--------|:---------------|:-------------|
-| [resnetaa50.a1h_in1k](https://huggingface.co/timm/resnetaa50.a1h_in1k) | 25.6M    | 5.2G    |          224 | True           |       2048 |      1000 | imagenet-1k | ResNet  | resnetaa50     | 2023-04-05   |
+| Name                                                                     | Params   | Flops   |   Input Size | Can Classify   |   Features |   Classes | Dataset     | Model   | Architecture   | Created At   |
+|:-------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:------------|:--------|:---------------|:-------------|
+| [resnetaa50.a1h_in1k](https://huggingface.co/timm/resnetaa50.a1h_in1k)   | 25.6M    | 5.2G    |          224 | True           |       2048 |      1000 | imagenet-1k | ResNet  | resnetaa50     | 2023-04-05   |
+| [ecaresnet50t.a1_in1k](https://huggingface.co/timm/ecaresnet50t.a1_in1k) | 25.6M    | 4.3G    |          224 | True           |       2048 |      1000 | imagenet-1k | ResNet  | ecaresnet50t   | 2023-04-05   |
 
 VisionTransformer
 

ecaresnet50t.a1_in1k/meta.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad730d0de84811e294068297cd0621c97db1f500008b30aa7e676c95884f6f4a
+size 169796

ecaresnet50t.a1_in1k/model.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c24d9085e5a7d3ff1c4a06f5f8d1bb3de3b74244f4b3c0467b0ad22eeab92d6
+size 102288894

ecaresnet50t.a1_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 sha256:402c6592aacd1e33528eafc690d830cee4f5783889833d70da7d2df5927b8487
-size 9484
+oid sha256:3dce759264ecdea1f114d58dd6a955d0d72a2cd06bbd783d43e059ebaf789a86
+size 9606