diff --git a/tools/asr/funasr_asr.py b/tools/asr/funasr_asr.py
index b0ffceb0..6a5c9989 100644
--- a/tools/asr/funasr_asr.py
+++ b/tools/asr/funasr_asr.py
@@ -4,9 +4,8 @@ import argparse
 import os
 import traceback
 
-# from funasr.utils import version_checker
-# version_checker.check_for_update = lambda: None
 from funasr import AutoModel
+from modelscope import snapshot_download
 from tqdm import tqdm
 
 funasr_models = {}  # 存储模型避免重复加载
@@ -16,40 +15,43 @@ def only_asr(input_file, language):
     try:
         model = create_model(language)
         text = model.generate(input=input_file)[0]["text"]
-    except:
+    except Exception:
         text = ""
         print(traceback.format_exc())
     return text
 
 
 def create_model(language="zh"):
-    path_vad = "tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch"
-    path_punc = "tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch"
-    path_vad = path_vad if os.path.exists(path_vad) else "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch"
-    path_punc = path_punc if os.path.exists(path_punc) else "iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch"
-    vad_model_revision = punc_model_revision = "v2.0.4"
-
     if language == "zh":
+        path_vad = "tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch"
+        path_punc = "tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch"
         path_asr = "tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
-        path_asr = (
-            path_asr
-            if os.path.exists(path_asr)
-            else "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
+        snapshot_download(
+            "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+            local_dir="tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch",
+        )
+        snapshot_download(
+            "iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
+            local_dir="tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
+        )
+        snapshot_download(
+            "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
+            local_dir="tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
         )
         model_revision = "v2.0.4"
     elif language == "yue":
         path_asr = "tools/asr/models/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online"
-        path_asr = (
-            path_asr
-            if os.path.exists(path_asr)
-            else "iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online"
+        snapshot_download(
+            "iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online",
+            local_dir="tools/asr/models/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online",
         )
-        model_revision = "master"
         path_vad = path_punc = None
-        vad_model_revision = punc_model_revision = None
-        ###友情提示：粤语带VAD识别可能会有少量shape不对报错的，但是不带VAD可以.不带vad只能分阶段单独加标点。不过标点模型对粤语效果真的不行…
+        vad_model_revision = punc_model_revision = ""
+        model_revision = "master"
     else:
-        raise ValueError("FunASR 不支持该语言" + ": " + language)
+        raise ValueError(f"{language} is not supported")
+
+    vad_model_revision = punc_model_revision = "v2.0.4"
 
     if language in funasr_models:
         return funasr_models[language]
@@ -83,7 +85,7 @@ def execute_asr(input_folder, output_folder, model_size, language):
             file_path = os.path.join(input_folder, file_name)
             text = model.generate(input=file_path)[0]["text"]
             output.append(f"{file_path}|{output_file_name}|{language.upper()}|{text}")
-        except:
+        except Exception:
             print(traceback.format_exc())
 
     output_folder = output_folder or "output/asr_opt"