[serve.llm] Remove upstreamed workarounds 1/3 (#54512)

Signed-off-by: Seiji Eicher <[email protected]>
Signed-off-by: Seiji Eicher <[email protected]>

Author: eicherseiji

python/ray/llm/_internal/serve/deployments/llm/vllm/vllm_engine.py

@@ -4,7 +4,6 @@
 
 from starlette.datastructures import State
 from starlette.requests import Request
-from transformers.dynamic_module_utils import init_hf_modules
 from vllm.engine.arg_utils import AsyncEngineArgs
 from vllm.entrypoints.openai.cli_args import FrontendArgs
 from vllm.entrypoints.openai.protocol import ErrorResponse as VLLMErrorResponse
@@ -110,10 +109,6 @@ def __init__(
         """
         super().__init__(llm_config)
 
-        # Ensure transformers_modules is initialized early in worker processes.
-        # This is critical for models with trust_remote_code=True to avoid pickle errors.
-        init_hf_modules()
-
         self.llm_config = llm_config
 
         if vllm is None: