chore: upgrade transformers 4.52.3 (#6575)

Co-authored-by: Mick <mickjagger19@icloud.com>

python/sglang/srt/configs/internvl.py

@@ -7,11 +7,8 @@ import sentencepiece as spm
 from transformers import (
     TOKENIZER_MAPPING,
     LlamaConfig,
-    Phi3Config,
     PretrainedConfig,
     PreTrainedTokenizer,
-    PreTrainedTokenizerFast,
-    Qwen2Config,
 )
 
 from sglang.utils import logger
@@ -302,24 +299,23 @@ class InternVLChatConfig(PretrainedConfig):
             )
 
         if llm_config is None:
-            # TODO: There might still be a bug in transformers version 4.44 and above.
-            llm_config = {"architectures": [""]}
+            llm_config = {"architectures": ["InternLM2ForCausalLM"]}
             logger.info(
                 "llm_config is None. Initializing the LlamaConfig config with default values (`LlamaConfig`)."
             )
+
         self.vision_config = InternVisionConfig(**vision_config)
-        if llm_config["architectures"][0] == "LlamaForCausalLM":
+        if llm_config.get("architectures")[0] == "LlamaForCausalLM":
             self.llm_config = LlamaConfig(**llm_config)
-        elif llm_config["architectures"][0] == "InternLM2ForCausalLM":
+        elif llm_config.get("architectures")[0] == "InternLM2ForCausalLM":
             self.llm_config = InternLM2Config(**llm_config)
-        elif llm_config["architectures"][0] == "Phi3ForCausalLM":
-            self.llm_config = Phi3Config(**llm_config)
-        elif llm_config["architectures"][0] == "Qwen2ForCausalLM":
-            self.llm_config = Qwen2Config(**llm_config)
         else:
             raise ValueError(
-                "Unsupported architecture: {}".format(llm_config["architectures"][0])
+                "Unsupported architecture: {}".format(
+                    llm_config.get("architectures")[0]
+                )
             )
+
         self.use_backbone_lora = use_backbone_lora
         self.use_llm_lora = use_llm_lora
         self.pad2square = pad2square