[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

@@ -30,15 +30,13 @@
 # yapf conflicts with isort for this block
 # yapf: disable
 from vllm.transformers_utils.configs import (ChatGLMConfig, DeepseekVLV2Config,
-                                             EAGLEConfig, JAISConfig,
-                                             KimiVLConfig, MedusaConfig,
-                                             MLPSpeculatorConfig,
-                                             Nemotron_Nano_VL_Config,
-                                             NemotronConfig,
-                                             OvisConfig, RWConfig,
-                                             SpeculatorsConfig,
-                                             Step3TextConfig, Step3VLConfig,
-                                             UltravoxConfig)
+                                            KimiVLConfig, MedusaConfig,
+                                            MLPSpeculatorConfig,
+                                            Nemotron_Nano_VL_Config,
+                                            NemotronConfig, OvisConfig,
+                                            RWConfig, SpeculatorsConfig,
+                                            Step3TextConfig, Step3VLConfig,
+                                            UltravoxConfig)
 
 # yapf: enable
 from vllm.transformers_utils.configs.mistral import adapt_config_dict
@@ -936,7 +934,10 @@ def get_hf_file_bytes(file_name: str,
 
     if file_path is None:
         try:
-            hf_hub_file = hf_hub_download(model, file_name, revision=revision, token=_get_hf_token())
+            hf_hub_file = hf_hub_download(model,
+                                        file_name,
+                                        revision=revision,
+                                        token=_get_hf_token())
             file_path = Path(hf_hub_file)
         except Exception:
             return None