Remove deprecated logic and warnings (#30743)

* Remove deprecated logic and warnings

* Add back some code that seems to be important...

* Let's just add all he nllb stuff back; removing it is a bit more involved

* Remove kwargs

* Remove more kwargs

examples/flax/image-captioning/run_image_captioning_flax.py

@@ -22,7 +22,6 @@ import logging
 import os
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 from enum import Enum
 from functools import partial
@@ -192,12 +191,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -406,15 +399,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_image_captioning", model_args, data_args, framework="flax")

examples/flax/language-modeling/run_bart_dlm_flax.py

@@ -26,7 +26,6 @@ import math
 import os
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 from enum import Enum
 from itertools import chain
@@ -178,12 +177,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
 
 
 @dataclass
@@ -470,15 +463,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_bart_dlm", model_args, data_args, framework="flax")

examples/flax/language-modeling/run_clm_flax.py

@@ -27,7 +27,6 @@ import math
 import os
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 from enum import Enum
 from itertools import chain
@@ -179,12 +178,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -351,15 +344,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_clm", model_args, data_args, framework="flax")

examples/flax/language-modeling/run_mlm_flax.py

@@ -26,7 +26,6 @@ import math
 import os
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 from enum import Enum
 from itertools import chain
@@ -184,12 +183,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -394,15 +387,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_mlm", model_args, data_args, framework="flax")

examples/flax/language-modeling/run_t5_mlm_flax.py

@@ -25,7 +25,6 @@ import math
 import os
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 
 # You can also adapt this script on your own masked language modeling task. Pointers for this are left as comments.
@@ -178,12 +177,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
 
 
 @dataclass
@@ -511,15 +504,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_t5_mlm", model_args, data_args, framework="flax")

examples/flax/question-answering/run_qa.py

@@ -25,7 +25,6 @@ import os
 import random
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 from enum import Enum
 from pathlib import Path
@@ -165,12 +164,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -455,15 +448,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_qa", model_args, data_args, framework="flax")

examples/flax/summarization/run_summarization_flax.py

@@ -24,7 +24,6 @@ import math
 import os
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 from enum import Enum
 from functools import partial
@@ -198,12 +197,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -434,15 +427,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_summarization", model_args, data_args, framework="flax")

examples/flax/vision/run_image_classification.py

@@ -24,7 +24,6 @@ import logging
 import os
 import sys
 import time
-import warnings
 from dataclasses import asdict, dataclass, field
 from enum import Enum
 from pathlib import Path
@@ -169,12 +168,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -274,15 +267,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_image_classification", model_args, data_args, framework="flax")

examples/pytorch/audio-classification/run_audio_classification.py

@@ -161,12 +161,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -214,15 +208,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_audio_classification", model_args, data_args)

examples/pytorch/contrastive-image-text/run_clip.py

@@ -26,7 +26,6 @@ Text models: BERT, ROBERTa (https://huggingface.co/models?filter=fill-mask)
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -96,12 +95,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -252,15 +245,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_clip", model_args, data_args)

examples/pytorch/image-classification/run_image_classification.py

@@ -16,7 +16,6 @@
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -161,12 +160,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -196,15 +189,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_image_classification", model_args, data_args)

examples/pytorch/image-pretraining/run_mae.py

@@ -16,7 +16,6 @@
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -143,12 +142,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     mask_ratio: float = field(
         default=0.75, metadata={"help": "The ratio of the number of masked tokens in the input sequence."}
     )
@@ -182,15 +175,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_mae", model_args, data_args)

examples/pytorch/image-pretraining/run_mim.py

@@ -16,7 +16,6 @@
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -163,12 +162,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -256,15 +249,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_mim", model_args, data_args)

examples/pytorch/image-pretraining/run_mim_no_trainer.py

@@ -17,7 +17,6 @@ import argparse
 import logging
 import math
 import os
-import warnings
 from pathlib import Path
 
 import datasets
@@ -196,12 +195,6 @@ def parse_args():
             "generated when running `huggingface-cli login` (stored in `~/.huggingface`)."
         ),
     )
-    parser.add_argument(
-        "--use_auth_token",
-        type=bool,
-        default=None,
-        help="The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-    )
     parser.add_argument(
         "--trust_remote_code",
         type=bool,
@@ -384,15 +377,6 @@ def collate_fn(examples):
 def main():
     args = parse_args()
 
-    if args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        args.token = args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_mim_no_trainer", args)

examples/pytorch/language-modeling/run_clm.py

@@ -25,7 +25,6 @@ import logging
 import math
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from itertools import chain
 from typing import Optional
@@ -121,12 +120,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -255,15 +248,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_clm", model_args, data_args)

examples/pytorch/language-modeling/run_mlm.py

@@ -25,7 +25,6 @@ import logging
 import math
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from itertools import chain
 from typing import Optional
@@ -118,12 +117,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -266,15 +259,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_mlm", model_args, data_args)

examples/pytorch/language-modeling/run_plm.py

@@ -22,7 +22,6 @@ import logging
 import math
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from itertools import chain
 from typing import Optional
@@ -105,12 +104,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     low_cpu_mem_usage: bool = field(
         default=False,
         metadata={
@@ -236,15 +229,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_plm", model_args, data_args)

examples/pytorch/multiple-choice/run_swag.py

@@ -21,7 +21,6 @@ Fine-tuning the library models for multiple choice.
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from itertools import chain
 from typing import Optional, Union
@@ -89,12 +88,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -242,15 +235,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_swag", model_args, data_args)

examples/pytorch/question-answering/run_qa.py

@@ -89,12 +89,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
     trust_remote_code: bool = field(
         default=False,
         metadata={
@@ -244,15 +238,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_qa", model_args, data_args)

examples/pytorch/question-answering/run_qa_beam_search.py

@@ -21,7 +21,6 @@ Fine-tuning XLNet for question answering with beam search using a slightly adapt
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -88,12 +87,6 @@ class ModelArguments:
             )
         },
     )
-    use_auth_token: bool = field(
-        default=None,
-        metadata={
-            "help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
-        },
-    )
 
 
 @dataclass
@@ -233,15 +226,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if model_args.use_auth_token is not None:
-        warnings.warn(
-            "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
-            FutureWarning,
-        )
-        if model_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        model_args.token = model_args.use_auth_token
-
     # Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
     # information sent is the one passed as arguments along with your Python/PyTorch versions.
     send_example_telemetry("run_qa_beam_search", model_args, data_args)