diff --git a/modelscope/models/nlp/polylm/text_generation.py b/modelscope/models/nlp/polylm/text_generation.py
index 1881cf2b..bd6fbd69 100644
--- a/modelscope/models/nlp/polylm/text_generation.py
+++ b/modelscope/models/nlp/polylm/text_generation.py
@@ -10,8 +10,11 @@ from modelscope.models.base import Tensor, TorchModel
 from modelscope.models.builder import MODELS
 from modelscope.utils.constant import Tasks
 from modelscope.utils.hub import read_config
+from modelscope.utils.logger import get_logger
 from modelscope.utils.streaming_output import StreamingOutputMixin
 
+logger = get_logger()
+
 __all__ = ['PolyLMForTextGeneration']
 
 
@@ -27,6 +30,9 @@ class PolyLMForTextGeneration(TorchModel, StreamingOutputMixin):
         super().__init__(model_dir, *args, **kwargs)
         self.tokenizer = AutoTokenizer.from_pretrained(
             model_dir, legacy=False, use_fast=False)
+        logger.warning(
+            f'Use trust_remote_code=True. Will invoke codes from {model_dir}. Please make sure '
+            'that you can trust the external codes.')
         self.model = AutoModelForCausalLM.from_pretrained(
             model_dir, device_map='auto', trust_remote_code=True)
         self.model.eval()
diff --git a/modelscope/msdatasets/data_loader/data_loader.py b/modelscope/msdatasets/data_loader/data_loader.py
index 92074449..71fcee45 100644
--- a/modelscope/msdatasets/data_loader/data_loader.py
+++ b/modelscope/msdatasets/data_loader/data_loader.py
@@ -133,6 +133,11 @@ class OssDownloader(BaseDownloader):
             raise f'meta-file: {dataset_name}.py not found on the modelscope hub.'
 
         if dataset_py_script and dataset_formation == DatasetFormations.hf_compatible:
+            if trust_remote_code:
+                logger.warning(
+                    f'Use trust_remote_code=True. Will invoke codes from {dataset_name}. Please make '
+                    'sure that you can trust the external codes.')
+
             self.dataset = hf_load_dataset(
                 dataset_py_script,
                 name=subset_name,
diff --git a/modelscope/msdatasets/data_loader/data_loader_manager.py b/modelscope/msdatasets/data_loader/data_loader_manager.py
index a9e58b7c..b64a8926 100644
--- a/modelscope/msdatasets/data_loader/data_loader_manager.py
+++ b/modelscope/msdatasets/data_loader/data_loader_manager.py
@@ -71,6 +71,11 @@ class LocalDataLoaderManager(DataLoaderManager):
         # Select local data loader
         # TODO: more loaders to be supported.
         if data_loader_type == LocalDataLoaderType.HF_DATA_LOADER:
+            if trust_remote_code:
+                logger.warning(
+                    f'Use trust_remote_code=True. Will invoke codes from {dataset_name}. Please make '
+                    'sure that you can trust the external codes.')
+
             # Build huggingface data loader and return dataset.
             return hf_data_loader(
                 dataset_name,
@@ -110,6 +115,10 @@ class RemoteDataLoaderManager(DataLoaderManager):
 
         # To use the huggingface data loader
         if data_loader_type == RemoteDataLoaderType.HF_DATA_LOADER:
+            if trust_remote_code:
+                logger.warning(
+                    f'Use trust_remote_code=True. Will invoke codes from {dataset_name}. Please make '
+                    'sure that you can trust the external codes.')
             dataset_ret = hf_data_loader(
                 dataset_name,
                 name=subset_name,
diff --git a/modelscope/msdatasets/ms_dataset.py b/modelscope/msdatasets/ms_dataset.py
index 899142ad..dbe15171 100644
--- a/modelscope/msdatasets/ms_dataset.py
+++ b/modelscope/msdatasets/ms_dataset.py
@@ -237,6 +237,11 @@ class MsDataset:
             if not namespace or not dataset_name:
                 raise 'The dataset_name should be in the form of `namespace/dataset_name` or `dataset_name`.'
 
+        if trust_remote_code:
+            logger.warning(
+                f'Use trust_remote_code=True. Will invoke codes from {dataset_name}. Please make sure that '
+                'you can trust the external codes.')
+
         # Init context config
         dataset_context_config = DatasetContextConfig(
             dataset_name=dataset_name,
diff --git a/modelscope/msdatasets/utils/hf_datasets_util.py b/modelscope/msdatasets/utils/hf_datasets_util.py
index 4d6de81c..fea304f6 100644
--- a/modelscope/msdatasets/utils/hf_datasets_util.py
+++ b/modelscope/msdatasets/utils/hf_datasets_util.py
@@ -835,6 +835,8 @@ def get_module_with_script(self) -> DatasetModule:
     if not os.path.exists(importable_file_path):
         trust_remote_code = resolve_trust_remote_code(trust_remote_code=self.trust_remote_code, repo_id=self.name)
         if trust_remote_code:
+            logger.warning(f'Use trust_remote_code=True. Will invoke codes from {repo_id}. Please make sure that '
+                           'you can trust the external codes.')
             _create_importable_file(
                 local_path=local_script_path,
                 local_imports=local_imports,
@@ -934,6 +936,11 @@ class DatasetsWrapperHF:
             verification_mode or VerificationMode.BASIC_CHECKS
         ) if not save_infos else VerificationMode.ALL_CHECKS)
 
+        if trust_remote_code:
+            logger.warning(f'Use trust_remote_code=True. Will invoke codes from {path}. Please make sure '
+                           'that you can trust the external codes.'
+                           )
+
         # Create a dataset builder
         builder_instance = DatasetsWrapperHF.load_dataset_builder(
             path=path,
@@ -1061,6 +1068,11 @@ class DatasetsWrapperHF:
             ) if download_config else DownloadConfig()
             download_config.storage_options.update(storage_options)
 
+        if trust_remote_code:
+            logger.warning(f'Use trust_remote_code=True. Will invoke codes from {path}. Please make sure '
+                           'that you can trust the external codes.'
+                           )
+
         dataset_module = DatasetsWrapperHF.dataset_module_factory(
             path,
             revision=revision,
@@ -1171,6 +1183,10 @@ class DatasetsWrapperHF:
         #   -> the module from the python file in the dataset repository
         # - if path has one "/" and is dataset repository on the HF hub without a python file
         #   -> use a packaged module (csv, text etc.) based on content of the repository
+        if trust_remote_code:
+            logger.warning(f'Use trust_remote_code=True. Will invoke codes from {path}. Please make sure '
+                           'that you can trust the external codes.'
+                           )
 
         # Try packaged
         if path in _PACKAGED_DATASETS_MODULES:
diff --git a/modelscope/pipelines/accelerate/vllm.py b/modelscope/pipelines/accelerate/vllm.py
index 15ced4bb..9cadb979 100644
--- a/modelscope/pipelines/accelerate/vllm.py
+++ b/modelscope/pipelines/accelerate/vllm.py
@@ -1,8 +1,11 @@
 from typing import List, Union
 
+from modelscope import get_logger
 from modelscope.pipelines.accelerate.base import InferFramework
 from modelscope.utils.import_utils import is_vllm_available
 
+logger = get_logger()
+
 
 class Vllm(InferFramework):
 
@@ -27,6 +30,9 @@ class Vllm(InferFramework):
         if not Vllm.check_gpu_compatibility(8) and (dtype
                                                     in ('bfloat16', 'auto')):
             dtype = 'float16'
+        logger.warning(
+            f'Use trust_remote_code=True. Will invoke codes from {self.model_dir}. Please make '
+            'sure that you can trust the external codes.')
         self.model = LLM(
             self.model_dir,
             dtype=dtype,
diff --git a/modelscope/pipelines/multi_modal/ovis_vl_pipeline.py b/modelscope/pipelines/multi_modal/ovis_vl_pipeline.py
index f19eddff..cdce09a1 100644
--- a/modelscope/pipelines/multi_modal/ovis_vl_pipeline.py
+++ b/modelscope/pipelines/multi_modal/ovis_vl_pipeline.py
@@ -2,7 +2,7 @@ from typing import Any, Dict, Union
 
 import torch
 
-from modelscope import AutoModelForCausalLM
+from modelscope import AutoModelForCausalLM, get_logger
 from modelscope.metainfo import Pipelines, Preprocessors
 from modelscope.models.base import Model
 from modelscope.outputs import OutputKeys
@@ -13,6 +13,8 @@ from modelscope.pipelines.multi_modal.visual_question_answering_pipeline import
 from modelscope.preprocessors import Preprocessor, load_image
 from modelscope.utils.constant import Fields, Frameworks, Tasks
 
+logger = get_logger()
+
 
 @PIPELINES.register_module(
     Tasks.visual_question_answering, module_name='ovis-vl')
@@ -35,6 +37,9 @@ class VisionChatPipeline(VisualQuestionAnsweringPipeline):
         torch_dtype = kwargs.get('torch_dtype', torch.float16)
         multimodal_max_length = kwargs.get('multimodal_max_length', 8192)
         self.device = 'cuda' if device == 'gpu' else device
+        logger.warning(
+            f'Use trust_remote_code=True. Will invoke codes from {model}. Please make '
+            'sure that you can trust the external codes.')
         self.model = AutoModelForCausalLM.from_pretrained(
             model,
             torch_dtype=torch_dtype,
diff --git a/modelscope/pipelines/nlp/llm_pipeline.py b/modelscope/pipelines/nlp/llm_pipeline.py
index 7ad0d278..269e8a42 100644
--- a/modelscope/pipelines/nlp/llm_pipeline.py
+++ b/modelscope/pipelines/nlp/llm_pipeline.py
@@ -97,6 +97,9 @@ class LLMPipeline(Pipeline, PipelineStreamingOutputMixin):
             assert base_model is not None, 'Cannot get adapter_cfg.model_id_or_path from configuration.json file.'
             revision = self.cfg.safe_get('adapter_cfg.model_revision',
                                          'master')
+            logger.warning(
+                f'Use trust_remote_code=True. Will invoke codes from {base_model}. Please make sure that you can '
+                'trust the external codes.')
             base_model = Model.from_pretrained(
                 base_model,
                 revision,
@@ -134,6 +137,9 @@ class LLMPipeline(Pipeline, PipelineStreamingOutputMixin):
                     model) else snapshot_download(model)
                 # TODO: Temporary use of AutoModelForCausalLM
                 # Need to be updated into a universal solution
+                logger.warning(
+                    f'Use trust_remote_code=True. Will invoke codes from {model_dir}. Please make sure '
+                    'that you can trust the external codes.')
                 model = AutoModelForCausalLM.from_pretrained(
                     model_dir,
                     device_map=self.device_map,
@@ -173,6 +179,9 @@ class LLMPipeline(Pipeline, PipelineStreamingOutputMixin):
         self.llm_framework = llm_framework
 
         if os.path.exists(kwargs['model']):
+            logger.warning(
+                f'Use trust_remote_code=True. Will invoke codes from {kwargs["model"]}. Please make sure '
+                'that you can trust the external codes.')
             config = AutoConfig.from_pretrained(
                 kwargs['model'], trust_remote_code=True)
             q_config = config.__dict__.get('quantization_config', None)
@@ -423,6 +432,9 @@ class LLMPipeline(Pipeline, PipelineStreamingOutputMixin):
             model_dir = self.model.model_dir
         if tokenizer_class is None:
             tokenizer_class = AutoTokenizer
+        logger.warning(
+            f'Use trust_remote_code=True. Will invoke codes from {model_dir}. Please make sure '
+            'that you can trust the external codes.')
         return tokenizer_class.from_pretrained(
             model_dir, trust_remote_code=True)
 
diff --git a/modelscope/pipelines/nlp/text_generation_pipeline.py b/modelscope/pipelines/nlp/text_generation_pipeline.py
index 55eaf809..374381cf 100644
--- a/modelscope/pipelines/nlp/text_generation_pipeline.py
+++ b/modelscope/pipelines/nlp/text_generation_pipeline.py
@@ -269,6 +269,9 @@ class ChatGLM6bV2TextGenerationPipeline(Pipeline):
             if use_bf16:
                 default_torch_dtype = torch.bfloat16
             torch_dtype = kwargs.get('torch_dtype', default_torch_dtype)
+            logger.warning(
+                f'Use trust_remote_code=True. Will invoke codes from {model_dir}. Please make sure '
+                'that you can trust the external codes.')
             model = Model.from_pretrained(
                 model_dir,
                 trust_remote_code=True,
@@ -285,6 +288,9 @@ class ChatGLM6bV2TextGenerationPipeline(Pipeline):
 
         self.model = model
         self.model.eval()
+        logger.warning(
+            f'Use trust_remote_code=True. Will invoke codes from {self.model.model_dir}. Please '
+            'make sure that you can trust the external codes.')
         self.tokenizer = AutoTokenizer.from_pretrained(
             self.model.model_dir, trust_remote_code=True)
 
@@ -328,6 +334,9 @@ class QWenChatPipeline(Pipeline):
             bf16 = False
 
         if isinstance(model, str):
+            logger.warning(
+                f'Use trust_remote_code=True. Will invoke codes from {model}. Please make sure '
+                'that you can trust the external codes.')
             self.tokenizer = AutoTokenizer.from_pretrained(
                 model, revision=revision, trust_remote_code=True)
             self.model = AutoModelForCausalLM.from_pretrained(
@@ -392,6 +401,9 @@ class QWenTextGenerationPipeline(Pipeline):
             bf16 = False
 
         if isinstance(model, str):
+            logger.warning(
+                f'Use trust_remote_code=True. Will invoke codes from {model}. Please make sure '
+                'that you can trust the external codes.')
             self.model = AutoModelForCausalLM.from_pretrained(
                 model,
                 device_map=device_map,
diff --git a/modelscope/preprocessors/templates/loader.py b/modelscope/preprocessors/templates/loader.py
index 8943f25d..8dac8d41 100644
--- a/modelscope/preprocessors/templates/loader.py
+++ b/modelscope/preprocessors/templates/loader.py
@@ -820,6 +820,9 @@ class TemplateLoader:
                                 model_id,
                                 revision=kwargs.pop('revision', 'master'),
                                 ignore_file_pattern=ignore_file_pattern)
+                            logger.warning(f'Use trust_remote_code=True. Will invoke codes from {model_dir}.'
+                                           ' Please make sure that you can trust the external codes.'
+                                           )
                             tokenizer = AutoTokenizer.from_pretrained(
                                 model_dir, trust_remote_code=True)
                             config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
diff --git a/modelscope/utils/automodel_utils.py b/modelscope/utils/automodel_utils.py
index eb4aa6c8..9bf1459e 100644
--- a/modelscope/utils/automodel_utils.py
+++ b/modelscope/utils/automodel_utils.py
@@ -3,12 +3,15 @@ import os
 from types import MethodType
 from typing import Any, Optional
 
+from modelscope import get_logger
 from modelscope.metainfo import Tasks
 from modelscope.utils.ast_utils import INDEX_KEY
 from modelscope.utils.import_utils import (LazyImportModule,
                                            is_torch_available,
                                            is_transformers_available)
 
+logger = get_logger()
+
 
 def can_load_by_ms(model_dir: str, task_name: Optional[str],
                    model_type: Optional[str]) -> bool:
@@ -91,6 +94,9 @@ def get_hf_automodel_class(model_dir: str,
     if not os.path.exists(config_path):
         return None
     try:
+        logger.warning(
+            f'Use trust_remote_code=True. Will invoke codes from {model_dir}. Please make sure '
+            'that you can trust the external codes.')
         config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
         if task_name is None:
             automodel_class = get_default_automodel(config)
diff --git a/modelscope/utils/plugins.py b/modelscope/utils/plugins.py
index 1f191a8d..671b1ea6 100644
--- a/modelscope/utils/plugins.py
+++ b/modelscope/utils/plugins.py
@@ -451,6 +451,9 @@ def register_plugins_repo(plugins: List[str]) -> None:
 def register_modelhub_repo(model_dir, allow_remote=False) -> None:
     """ Try to install and import remote model from modelhub"""
     if allow_remote:
+        logger.warning(
+            f'Use allow_remote=True. Will invoke codes from {model_dir}. Please make sure '
+            'that you can trust the external codes.')
         try:
             import_module_from_model_dir(model_dir)
         except KeyError: