[Bugfix] Fix VLLM_USE_MODELSCOPE issue

vllm/transformers_utils/config.py

@@ -117,6 +117,12 @@ def list_repo_files(
 
     def lookup_files():
         try:
+            if VLLM_USE_MODELSCOPE:
+                from vllm.transformers_utils.utils import (
+                    modelscope_list_repo_files)
+                return modelscope_list_repo_files(repo_id,
+                                                  revision=revision,
+                                                  token=token)
             return hf_list_repo_files(repo_id,
                                       revision=revision,
                                       repo_type=repo_type,
@@ -382,17 +388,17 @@ def get_hf_file_to_dict(file_name: str,
 @cache
 def get_pooling_config(model: str, revision: Optional[str] = 'main'):
     """
-    This function gets the pooling and normalize 
-    config from the model - only applies to 
-    sentence-transformers models. 
+    This function gets the pooling and normalize
+    config from the model - only applies to
+    sentence-transformers models.
 
     Args:
         model (str): The name of the Hugging Face model.
-        revision (str, optional): The specific version 
+        revision (str, optional): The specific version
         of the model to use. Defaults to 'main'.
 
     Returns:
-        dict: A dictionary containing the pooling 
+        dict: A dictionary containing the pooling
         type and whether normalization is used.
     """
 
@@ -499,7 +505,7 @@ def get_sentence_transformer_tokenizer_config(model: str,
                                          revision=revision,
                                          token=HF_TOKEN)
         except Exception as e:
-            logger.debug("Error getting repo files", e)
+            logger.error("Error getting repo files", e)
             repo_files = []
 
         for config_name in sentence_transformer_config_files:

vllm/transformers_utils/utils.py

@@ -2,7 +2,7 @@
 
 from os import PathLike
 from pathlib import Path
-from typing import Union
+from typing import List, Optional, Union
 
 
 def is_s3(model_or_path: str) -> bool:
@@ -20,3 +20,22 @@ def check_gguf_file(model: Union[str, PathLike]) -> bool:
     with open(model, "rb") as f:
         header = f.read(4)
     return header == b"GGUF"
+
+
+def modelscope_list_repo_files(
+    repo_id: str,
+    revision: Optional[str] = None,
+    token: Union[str, bool, None] = None,
+) -> List[str]:
+    """List files in a modelscope repo."""
+    from modelscope.hub.api import HubApi
+    from modelscope.utils.hf_util import _try_login
+    _try_login(token)
+    api = HubApi()
+    # same as huggingface_hub.list_repo_files
+    files = [
+        file['Path'] for file in api.get_model_files(
+            model_id=repo_id, revision=revision, recursive=True)
+        if file['Type'] == 'blob'
+    ]
+    return files