Force torch>=2.6 with torch.load to avoid vulnerability issue (#37785)

* fix all main files

* fix test files

* oups forgot modular

* add link

* update message

tests/models/llava_next/test_modeling_llava_next.py

@@ -33,6 +33,7 @@ from transformers.testing_utils import (
     slow,
     torch_device,
 )
+from transformers.utils import check_torch_load_is_safe
 
 from ...generation.test_utils import GenerationTesterMixin
 from ...test_configuration_common import ConfigTester
@@ -366,6 +367,7 @@ class LlavaNextForConditionalGenerationIntegrationTest(unittest.TestCase):
             filename="llava_1_6_input_ids.pt",
             repo_type="dataset",
         )
+        check_torch_load_is_safe()
         original_input_ids = torch.load(filepath, map_location="cpu", weights_only=True)
         # replace -200 by image_token_index (since we use token ID = 32000 for the image token)
         # remove image token indices because HF impl expands image tokens `image_seq_length` times
@@ -378,6 +380,7 @@ class LlavaNextForConditionalGenerationIntegrationTest(unittest.TestCase):
             filename="llava_1_6_pixel_values.pt",
             repo_type="dataset",
         )
+        check_torch_load_is_safe()
         original_pixel_values = torch.load(filepath, map_location="cpu", weights_only=True)
         assert torch.allclose(original_pixel_values, inputs.pixel_values.half())