diff --git a/timm/models/pnasnet.py b/timm/models/pnasnet.py
index dc9b3e20..64d83e3c 100644
--- a/timm/models/pnasnet.py
+++ b/timm/models/pnasnet.py
@@ -390,7 +390,7 @@ def pnasnet5large(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
     <https://arxiv.org/abs/1712.00559>`_ paper.
     """
     default_cfg = default_cfgs['pnasnet5large']
-    model = PNASNet5Large(num_classes=1000, in_chans=in_chans, **kwargs)
+    model = PNASNet5Large(num_classes=num_classes, in_chans=in_chans, **kwargs)
     model.default_cfg = default_cfg
     if pretrained:
         load_pretrained(model, default_cfg, num_classes, in_chans)
diff --git a/timm/models/res2net.py b/timm/models/res2net.py
index 134cf00d..8655776c 100644
--- a/timm/models/res2net.py
+++ b/timm/models/res2net.py
@@ -229,7 +229,7 @@ def res2next50(pretrained=False, num_classes=1000, in_chans=3, **kwargs):
     default_cfg = default_cfgs['res2next50']
     res2net_block_args = dict(scale=4)
     model = ResNet(Bottle2neck, [3, 4, 6, 3], base_width=4, cardinality=8,
-                   num_classes=1000, in_chans=in_chans, block_args=res2net_block_args, **kwargs)
+                   num_classes=num_classes, in_chans=in_chans, block_args=res2net_block_args, **kwargs)
     model.default_cfg = default_cfg
     if pretrained:
         load_pretrained(model, default_cfg, num_classes, in_chans)