[Bugfix] Fix Dense module loading for sentence-transformers embedding models v12

Signed-off-by: FFFfff1FFFfff <[email protected]>

Author: FFFfff1FFFfff

requirements/test.txt

@@ -1241,4 +1241,4 @@ yarl==1.17.1
 zipp==3.23.0
     # via importlib-metadata
 zstandard==0.23.0
-    # via lm-eval
+    # via lm-eval

vllm/transformers_utils/config.py

@@ -37,7 +37,6 @@
                                              RWConfig, SpeculatorsConfig,
                                              Step3TextConfig, Step3VLConfig,
                                              UltravoxConfig)
-
 # yapf: enable
 from vllm.transformers_utils.configs.mistral import adapt_config_dict
 from vllm.transformers_utils.utils import check_gguf_file
@@ -929,9 +928,9 @@ def get_hf_file_bytes(file_name: str,
                       model: Union[str, Path],
                       revision: Optional[str] = 'main') -> Optional[bytes]:
     file_path = try_get_local_file(model=model,
-                                    file_name=file_name,
-                                    revision=revision)
-    
+                                   file_name=file_name,
+                                   revision=revision)
+
     if file_path is None:
         try:
             hf_hub_file = hf_hub_download(model,
@@ -941,12 +940,12 @@ def get_hf_file_bytes(file_name: str,
             file_path = Path(hf_hub_file)
         except Exception:
             return None
-    
+
     if file_path is not None and file_path.is_file():
         try:
             with open(file_path, 'rb') as file:
                 return file.read()
         except Exception:
             return None
-    
+
     return None