fix moganet_tiny_224_in1k

README.md

@@ -17,7 +17,7 @@ widget:
   example_title: Tiger
 ---
 
-# Model card for moganet_xtiny_256_in1k
+# Model card for moganet_tiny_224_in1k
 
 MogaNet a new family of efficient ConvNets with preferable parameter-performance trade-offs, which is trained on ImageNet-1k (1 million images, 1,000 classes). It was first introduced in the paper [MogaNet](https://arxiv.org/abs/2211.03295) and released in [Westlake/MogaNet](https://github.com/Westlake-AI/MogaNet) and [Westlake/openmixup](https://github.com/Westlake-AI/openmixup).
 
@@ -45,7 +45,7 @@ import models
 img = Image.open(
     urlopen('https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'))
 
-model = timm.create_model('moganet_xtiny_1k_sz256', pretrained=True)
+model = timm.create_model('moganet_tiny_1k', pretrained=True)
 model = model.eval()
 
 # get model specific transforms (normalization, resize)
@@ -67,7 +67,7 @@ img = Image.open(
     urlopen('https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'))
 
 model = timm.create_model(
-    'moganet_xtiny_1k_sz256',
+    'moganet_tiny_1k',
     pretrained=True,
     fork_feat=True,
 )