diff --git a/modelscope/__init__.py b/modelscope/__init__.py
index 11f28767..9f1d5df1 100644
--- a/modelscope/__init__.py
+++ b/modelscope/__init__.py
@@ -33,7 +33,8 @@ if TYPE_CHECKING:
                                 AutoModelForSeq2SeqLM,
                                 AutoModelForSequenceClassification,
                                 AutoModelForTokenClassification, AutoTokenizer,
-                                GenerationConfig)
+                                GenerationConfig, AutoImageProcessor,
+                                BatchFeature)
     from .utils.hub import create_model_if_not_exist, read_config
     from .utils.logger import get_logger
     from .version import __release_datetime__, __version__
@@ -81,7 +82,8 @@ else:
             'BitsAndBytesConfig', 'AutoModelForCausalLM',
             'AutoModelForSeq2SeqLM', 'AutoTokenizer',
             'AutoModelForSequenceClassification',
-            'AutoModelForTokenClassification'
+            'AutoModelForTokenClassification', 'AutoImageProcessor',
+            'BatchFeature'
         ],
         'msdatasets': ['MsDataset']
     }
diff --git a/modelscope/utils/hf_util.py b/modelscope/utils/hf_util.py
index f98dbea2..4816b95e 100644
--- a/modelscope/utils/hf_util.py
+++ b/modelscope/utils/hf_util.py
@@ -2,6 +2,7 @@
 import os
 
 from transformers import AutoConfig as AutoConfigHF
+from transformers import AutoImageProcessor as AutoImageProcessorHF
 from transformers import AutoModel as AutoModelHF
 from transformers import AutoModelForCausalLM as AutoModelForCausalLMHF
 from transformers import AutoModelForSeq2SeqLM as AutoModelForSeq2SeqLMHF
@@ -10,6 +11,7 @@ from transformers import \
 from transformers import \
     AutoModelForTokenClassification as AutoModelForTokenClassificationHF
 from transformers import AutoTokenizer as AutoTokenizerHF
+from transformers import BatchFeature as BatchFeatureHF
 from transformers import BitsAndBytesConfig as BitsAndBytesConfigHF
 from transformers import GenerationConfig as GenerationConfigHF
 from transformers import PreTrainedModel, PreTrainedTokenizerBase
@@ -136,3 +138,5 @@ GenerationConfig = get_wrapped_class(
     GenerationConfigHF, ignore_file_pattern=[r'\w+\.bin', r'\w+\.safetensors'])
 GPTQConfig = GPTQConfigHF
 BitsAndBytesConfig = BitsAndBytesConfigHF
+AutoImageProcessor = get_wrapped_class(AutoImageProcessorHF)
+BatchFeature = get_wrapped_class(BatchFeatureHF)