Make remote code compatible with vLLM x Transformers v5

This config class cannot be instantiated on Transformers v5 because super init performs validation which fails because nothing has been initialised yet.

This change should enable the current state of the remote code to work with vLLM with Transformers v5.

configuration_ernie4_5_vl.py

@@ -80,8 +80,6 @@ class DFNRopeVisionTransformerConfig(PretrainedConfig):
             vit_first_fwd_bsz (int): First forward batch size for ViT. Defaults to 128.
             vit_num_recompute_layers (int): Number of recomputed layers for ViT. Defaults to
         """
-        super().__init__(**kwargs)
-
         self.depth = depth
         self.embed_dim = embed_dim
         self.hidden_size = hidden_size
@@ -97,6 +95,7 @@ class DFNRopeVisionTransformerConfig(PretrainedConfig):
         self.attn_sep = attn_sep
         self.vit_first_fwd_bsz = vit_first_fwd_bsz
         self.vit_num_recompute_layers = vit_num_recompute_layers
+        super().__init__(**kwargs)
 
     def get(self, key, default=None):
         """get config value by key"""