update modeling_internvl_chat.py to call self.post_init() at the end of __init__ (line 88).

Currently, InternVLChatModel does not call self.post_init() during initialization, leaving model._tp_plan as None.
When using AutoModelForCausalLM.from_pretrained, this can lead to a TypeError: 'NoneType' object is not iterable, because from_pretrained may invoke caching_allocator_warmup(), which expects model._tp_plan to be properly defined.

For more details, please see this PR: https://github.com/huggingface/transformers/pull/37708.

modeling_internvl_chat.py

@@ -85,7 +85,8 @@ class InternVLChatModel(PreTrainedModel):
         self.img_context_token_id = None
         self.conv_template = get_conv_template(self.template)
         self.system_message = self.conv_template.system_message
-
+        # Initialize weights and apply final processing
+        self.post_init()
     def forward(
             self,
             pixel_values: torch.FloatTensor,