[VLM] Update compatibility with transformers 4.49

tests/models/embedding/vision_language/test_llava_next.py

@@ -4,7 +4,6 @@ from typing import List, Type
 
 import pytest
 import torch.nn.functional as F
-import transformers
 from transformers import AutoModelForVision2Seq
 
 from ....conftest import IMAGE_ASSETS, HfRunner, PromptImageInput, VllmRunner
@@ -57,6 +56,10 @@ def _run_test(
 
     with hf_runner(model, dtype=dtype,
                    auto_cls=AutoModelForVision2Seq) as hf_model:
+        # Patch the issue where generation_config.json is missing
+        hf_model.processor.patch_size = \
+            hf_model.model.config.vision_config.patch_size
+
         # Patch the issue where image_token_id
         # exceeds the maximum allowed vocab size
         hf_model.model.resize_token_embeddings(
@@ -88,8 +91,6 @@ def _run_test(
     )
 
 
-@pytest.mark.skipif(transformers.__version__ >= "4.46",
-                    reason="Model broken with changes in transformers 4.46")
 @pytest.mark.core_model
 @pytest.mark.parametrize("model", MODELS)
 @pytest.mark.parametrize("dtype", ["half"])