[Bugfix] Fix Qwen3-VL reranker crash on missing tie_word_embeddings in text config (#59989)

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Taneem Ibrahim <taneem.ibrahim@gmail.com>
Co-authored-by: Cyrus Leung <tlleungac@connect.ust.hk>

vllm/model_executor/models/adapters.py

@@ -539,7 +539,7 @@ def load_weights_using_from_2_way_softmax(
         text_config.vocab_size,
         text_config.hidden_size,
     )
-    if text_config.tie_word_embeddings:
+    if language_model.config.get_text_config().tie_word_embeddings:
         # embed_tokens is the assumed name for input embeddings. If the model does not
         # have this attribute, we fall back to get_input_embeddings(), which is used by
         # the Transformers modeling backend.
@@ -608,7 +608,7 @@ def load_weights_no_post_processing(model, weights: Iterable[tuple[str, torch.Te
         text_config.vocab_size,
         text_config.hidden_size,
     )
-    if text_config.tie_word_embeddings:
+    if language_model.config.get_text_config().tie_word_embeddings:
         # embed_tokens is the assumed name for input embeddings. If the model does not
         # have this attribute, we fall back to get_input_embeddings(), which is used by
         # the Transformers modeling backend.