Add DINOv3 ConvNeXt weights.

Author: rwightman

timm/models/_hub.py

@@ -457,13 +457,18 @@ def push_to_hf_hub(
         )
 
 
-def generate_readme(model_card: dict, model_name: str):
-    tags = model_card.get('tags', None) or ['image-classification', 'timm', 'transformers']
+def generate_readme(
+        model_card: dict,
+        model_name: str,
+        task_name: str = 'image-classification',
+):
+    tags = model_card.get('tags', None) or [task_name, 'timm', 'transformers']
     readme_text = "---\n"
     if tags:
         readme_text += "tags:\n"
         for t in tags:
             readme_text += f"- {t}\n"
+    readme_text += f"pipeline_tag: {task_name}\n"
     readme_text += f"library_name: {model_card.get('library_name', 'timm')}\n"
     readme_text += f"license: {model_card.get('license', 'apache-2.0')}\n"
     if 'license_name' in model_card:

timm/models/convnext.py

@@ -1061,6 +1061,33 @@ def _cfgv2(url='', **kwargs):
         mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD,
         input_size=(3, 256, 256), pool_size=(8, 8), crop_pct=1.0, num_classes=1024),
 
+    # NOTE dinov3 convnext weights are under a specific license, and downstream outputs must be shared with this
+    # https://ai.meta.com/resources/models-and-libraries/dinov3-license/
+    'convnext_tiny.dinov3_lvd1689m': _cfg(
+        hf_hub_id='timm/',
+        crop_pct=1.0,
+        num_classes=0,
+        license='dinov3',
+    ),
+    'convnext_small.dinov3_lvd1689m': _cfg(
+        hf_hub_id='timm/',
+        crop_pct=1.0,
+        num_classes=0,
+        license='dinov3',
+    ),
+    'convnext_base.dinov3_lvd1689m': _cfg(
+        hf_hub_id='timm/',
+        crop_pct=1.0,
+        num_classes=0,
+        license='dinov3',
+    ),
+    'convnext_large.dinov3_lvd1689m': _cfg(
+        hf_hub_id='timm/',
+        crop_pct=1.0,
+        num_classes=0,
+        license='dinov3',
+    ),
+
     "test_convnext.r160_in1k": _cfg(
         hf_hub_id='timm/',
         mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5),