Informative (#35059)

* fix

* fix

* fix

* fix

---------

Co-authored-by: ydshieh <[email protected]>

src/transformers/models/deprecated/transfo_xl/convert_transfo_xl_original_tf_checkpoint_to_pytorch.py

@@ -109,7 +109,8 @@ def convert_transfo_xl_checkpoint_to_pytorch(
         "--transfo_xl_dataset_file",
         default="",
         type=str,
-        help="An optional dataset file to be converted in a vocabulary.",
+        help="An optional dataset file to be converted in a vocabulary.\n"
+        "Given the files are in the pickle format, please be wary of passing it files you trust.",
     )
     args = parser.parse_args()
     convert_transfo_xl_checkpoint_to_pytorch(

src/transformers/models/maskformer/convert_maskformer_resnet_to_pytorch.py

@@ -374,7 +374,8 @@ def convert_maskformer_checkpoint(
         "--checkpoint_path",
         type=str,
         required=True,
-        help=("Path to the original pickle file (.pkl) of the original checkpoint.",),
+        help="Path to the original pickle file (.pkl) of the original checkpoint.\n"
+        "Given the files are in the pickle format, please be wary of passing it files you trust.",
     )
     parser.add_argument(
         "--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model directory."

src/transformers/models/maskformer/convert_maskformer_swin_to_pytorch.py

@@ -317,7 +317,8 @@ def convert_maskformer_checkpoint(
         "--checkpoint_path",
         default="/Users/nielsrogge/Documents/MaskFormer_checkpoints/MaskFormer-Swin-tiny-ADE20k/model.pkl",
         type=str,
-        help="Path to the original state dict (.pth file).",
+        help="Path to the original state dict (.pth file).\n"
+        "Given the files are in the pickle format, please be wary of passing it files you trust.",
     )
     parser.add_argument(
         "--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model directory."

src/transformers/models/perceiver/convert_perceiver_haiku_to_pytorch.py

@@ -444,7 +444,8 @@ def convert_perceiver_checkpoint(pickle_file, pytorch_dump_folder_path, architec
         type=str,
         default=None,
         required=True,
-        help="Path to local pickle file of a Perceiver checkpoint you'd like to convert.",
+        help="Path to local pickle file of a Perceiver checkpoint you'd like to convert.\n"
+        "Given the files are in the pickle format, please be wary of passing it files you trust.",
     )
     parser.add_argument(
         "--pytorch_dump_folder_path",