[Bugfix] Fix Dense module loading for sentence-transformers embedding models (simplified V2) (#23408)

Signed-off-by: FFFfff1FFFfff <yifanli0919@gmail.com>

tests/models/language/pooling/test_st_projector.py

@@ -0,0 +1,22 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import pytest
+
+from ...utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
+from .mteb_utils import mteb_test_embed_models
+
+# ST models with projector (Dense) layers
+ST_PROJECTOR_MODELS = [
+    CLSPoolingEmbedModelInfo(
+        "TencentBAC/Conan-embedding-v1",
+        architecture="BertModel",
+        enable_test=True,
+    ),
+]
+
+
+@pytest.mark.parametrize("model_info", ST_PROJECTOR_MODELS)
+def test_embed_models_mteb(hf_runner, vllm_runner,
+                           model_info: EmbedModelInfo) -> None:
+
+    mteb_test_embed_models(hf_runner, vllm_runner, model_info)