Update model config and README

README.md

@@ -11,7 +11,7 @@ license_link: https://ai.meta.com/resources/models-and-libraries/dinov3-license
 datasets:
 - lvd-1689m
 ---
-# Model card for vit_large_patch16_dinov3.lvd_1689m
+# Model card for vit_large_patch16_dinov3.lvd1689m
 
 A DINOv3 ViT model image feature encoder. Distilled on LVD-1689M from the DINOv3 ViT-7B model.
 
@@ -45,7 +45,7 @@ img = Image.open(urlopen(
     'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
 ))
 
-model = timm.create_model('vit_large_patch16_dinov3.lvd_1689m', pretrained=True)
+model = timm.create_model('vit_large_patch16_dinov3.lvd1689m', pretrained=True)
 model = model.eval()
 
 # get model specific transforms (normalization, resize)
@@ -68,7 +68,7 @@ img = Image.open(urlopen(
 ))
 
 model = timm.create_model(
-    'vit_large_patch16_dinov3.lvd_1689m',
+    'vit_large_patch16_dinov3.lvd1689m',
     pretrained=True,
     features_only=True,
 )
@@ -101,7 +101,7 @@ img = Image.open(urlopen(
 ))
 
 model = timm.create_model(
-    'vit_large_patch16_dinov3.lvd_1689m',
+    'vit_large_patch16_dinov3.lvd1689m',
     pretrained=True,
     num_classes=0,  # remove classifier nn.Linear
 )

config.json

@@ -4,7 +4,7 @@
   "num_features": 1024,
   "global_pool": "avg",
   "pretrained_cfg": {
-    "tag": "lvd_1689m",
+    "tag": "lvd1689m",
     "custom_load": false,
     "input_size": [
       3,