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/trainer/test_trainer.py

@@ -113,6 +113,7 @@ from transformers.utils import (
     SAFE_WEIGHTS_NAME,
     WEIGHTS_INDEX_NAME,
     WEIGHTS_NAME,
+    check_torch_load_is_safe,
     is_accelerate_available,
     is_apex_available,
     is_bitsandbytes_available,
@@ -646,6 +647,7 @@ class TrainerIntegrationCommon:
         else:
             best_model = RegressionModel()
             if not safe_weights:
+                check_torch_load_is_safe()
                 state_dict = torch.load(os.path.join(checkpoint, WEIGHTS_NAME), weights_only=True)
             else:
                 state_dict = safetensors.torch.load_file(os.path.join(checkpoint, SAFE_WEIGHTS_NAME))
@@ -678,6 +680,7 @@ class TrainerIntegrationCommon:
             loader = safetensors.torch.load_file
             weights_file = os.path.join(folder, SAFE_WEIGHTS_NAME)
         else:
+            check_torch_load_is_safe()
             loader = torch.load
             weights_file = os.path.join(folder, WEIGHTS_NAME)