change model type to internvl so it is compatible with vllm etc

config.json

@@ -1,6 +1,6 @@
 {
   "architectures": [
-    "H2OVLChatModel"
+    "InternVLChatModel"
   ],
   "auto_map": {
     "AutoConfig": "configuration_h2ovl_chat.H2OVLChatConfig",
@@ -69,7 +69,7 @@
   },
   "max_dynamic_patch": 6,
   "min_dynamic_patch": 1,
-  "model_type": "h2ovl_chat",
+  "model_type": "internvl_chat",
   "pad2square": false,
   "ps_version": "v2",
   "select_layer": -1,

configuration_h2ovl_chat.py

@@ -7,7 +7,7 @@ from transformers.models.auto import CONFIG_MAPPING
 logger = logging.get_logger(__name__)
 
 class H2OVLChatConfig(PretrainedConfig):
-    model_type = 'h2ovl_chat'
+    model_type = 'internvl_chat'
     is_composition = True
 
     def __init__(