Another small fix for original mambaout models, no classifier nn.Linear when num_classe=0 on init

Author: rwightman

timm/models/mambaout.py

@@ -151,7 +151,7 @@ def __init__(
             self.num_features = in_features
             self.pre_logits = nn.Identity()
 
-        self.fc = nn.Linear(hidden_size, num_classes, bias=bias)
+        self.fc = nn.Linear(hidden_size, num_classes, bias=bias) if num_classes > 0 else nn.Identity()
         self.head_dropout = nn.Dropout(drop_rate)
 
     def reset(self, num_classes: int, pool_type: Optional[str] = None, reset_other: bool = False):