Add changes for conversion script for pretrained window size case

src/transformers/models/swinv2/convert_swinv2_timm_to_pytorch.py

@@ -15,9 +15,14 @@ def get_swinv2_config(swinv2_name):
     name_split = swinv2_name.split("_")
 
     model_size = name_split[1]
-    img_size = int(name_split[4])
-    window_size = int(name_split[3][6:])
-
+    if "to" in name_split[4]:
+        img_size = int(name_split[4][-3:])
+    else:      
+        img_size = int(name_split[4])
+    if "to" in name_split[3]:
+        window_size = int(name_split[3][-2:])
+    else:
+        window_size = int(name_split[3][6:])
     if model_size == "tiny":
         embed_dim = 96
         depths = (2, 2, 6, 2)
@@ -34,8 +39,11 @@ def get_swinv2_config(swinv2_name):
         embed_dim = 192
         depths = (2, 2, 18, 2)
         num_heads = (6, 12, 24, 48)
+
+    if "to" in swinv2_name:
+        config.pretrained_window_sizes = (12,12,12,6)
 
-    if "22k" in swinv2_name:
+    if ("22k" in swinv2_name) and ("to" not in swinv2_name):
         num_classes = 21841
     else:
         num_classes = 1000