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/pytorch/question-answering/run_seq2seq_qa.py

@@ -21,7 +21,6 @@ Fine-tuning the library's seq2seq models for question answering using the 🤗 S
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import List, Optional, Tuple
 
@@ -90,12 +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={
@@ -290,15 +283,6 @@ 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_seq2seq_qa", model_args, data_args)

examples/pytorch/semantic-segmentation/run_semantic_segmentation.py

@@ -17,7 +17,6 @@ import json
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from functools import partial
 from typing import Optional
@@ -151,12 +150,6 @@ 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={
@@ -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_semantic_segmentation", model_args, data_args)

examples/pytorch/speech-recognition/run_speech_recognition_ctc.py

@@ -251,12 +251,6 @@ class DataTrainingArguments:
             )
         },
     )
-    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={
@@ -411,15 +405,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if data_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 data_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        data_args.token = data_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_speech_recognition_ctc", model_args, data_args)

examples/pytorch/speech-recognition/run_speech_recognition_ctc_adapter.py

@@ -241,12 +241,6 @@ class DataTrainingArguments:
             )
         },
     )
-    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={
@@ -391,15 +385,6 @@ def main():
     else:
         model_args, data_args, training_args = parser.parse_args_into_dataclasses()
 
-    if data_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 data_args.token is not None:
-            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
-        data_args.token = data_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_speech_recognition_ctc_adapter", model_args, data_args)

examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py

@@ -22,7 +22,6 @@ Fine-tuning the library models for sequence to sequence speech recognition.
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Any, Dict, List, Optional, Union
 
@@ -95,12 +94,6 @@ 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={
@@ -295,15 +288,6 @@ 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_speech_recognition_seq2seq", model_args, data_args)

examples/pytorch/summarization/run_summarization.py

@@ -21,7 +21,6 @@ Fine-tuning the library models for sequence to sequence.
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -109,12 +108,6 @@ 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={
@@ -329,15 +322,6 @@ 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)

examples/pytorch/text-classification/run_classification.py

@@ -20,7 +20,6 @@ import logging
 import os
 import random
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import List, Optional
 
@@ -237,12 +236,6 @@ 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={
@@ -285,15 +278,6 @@ 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_classification", model_args, data_args)

examples/pytorch/text-classification/run_glue.py

@@ -20,7 +20,6 @@ import logging
 import os
 import random
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -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={
@@ -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_glue", model_args, data_args)

examples/pytorch/text-classification/run_xnli.py

@@ -21,7 +21,6 @@ import logging
 import os
 import random
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -162,12 +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={
@@ -192,15 +185,6 @@ def main():
     parser = HfArgumentParser((ModelArguments, DataTrainingArguments, TrainingArguments))
     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_xnli", model_args)

examples/pytorch/token-classification/run_ner.py

@@ -22,7 +22,6 @@ Fine-tuning the library models for token classification.
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -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={
@@ -234,15 +227,6 @@ 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_ner", model_args, data_args)

examples/pytorch/translation/run_translation.py

@@ -21,7 +21,6 @@ Fine-tuning the library models for sequence to sequence.
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -99,12 +98,6 @@ 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={
@@ -278,15 +271,6 @@ 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_translation", model_args, data_args)

examples/tensorflow/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
 
@@ -102,12 +101,6 @@ 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={
@@ -262,15 +255,6 @@ 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
-
     if model_args.model_name_or_path is not None:
         if model_args.vision_model_name_or_path is not None or model_args.text_model_name_or_path is not None:
             raise ValueError(

examples/tensorflow/image-classification/run_image_classification.py

@@ -23,7 +23,6 @@ import json
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -168,12 +167,6 @@ 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={
@@ -244,18 +237,6 @@ 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
-
-    if not (training_args.do_train or training_args.do_eval or training_args.do_predict):
-        exit("Must specify at least one of --do_train, --do_eval or --do_predict!")
-
     # 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/TensorFlow versions.
     send_example_telemetry("run_image_classification", model_args, data_args, framework="tensorflow")

examples/tensorflow/language-modeling/run_clm.py

@@ -30,7 +30,6 @@ import math
 import os
 import random
 import sys
-import warnings
 from dataclasses import dataclass, field
 from itertools import chain
 from pathlib import Path
@@ -122,12 +121,6 @@ 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={
@@ -237,15 +230,6 @@ 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="tensorflow")

examples/tensorflow/language-modeling/run_mlm.py

@@ -28,7 +28,6 @@ import math
 import os
 import random
 import sys
-import warnings
 from dataclasses import dataclass, field
 from itertools import chain
 from pathlib import Path
@@ -120,12 +119,6 @@ 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={
@@ -243,15 +236,6 @@ 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="tensorflow")

examples/tensorflow/multiple-choice/run_swag.py

@@ -22,7 +22,6 @@ import json
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from itertools import chain
 from pathlib import Path
@@ -156,12 +155,6 @@ 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_swag", model_args, data_args, framework="tensorflow")

examples/tensorflow/question-answering/run_qa.py

@@ -22,7 +22,6 @@ import json
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from pathlib import Path
 from typing import Optional
@@ -101,12 +100,6 @@ 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={
@@ -276,15 +269,6 @@ 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="tensorflow")

examples/tensorflow/summarization/run_summarization.py

@@ -22,7 +22,6 @@ import json
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -109,12 +108,6 @@ 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={
@@ -304,15 +297,6 @@ 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="tensorflow")

examples/tensorflow/text-classification/run_glue.py

@@ -20,7 +20,6 @@ import json
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from typing import Optional
 
@@ -174,12 +173,6 @@ 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={
@@ -209,15 +202,6 @@ 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_glue", model_args, data_args, framework="tensorflow")

examples/tensorflow/text-classification/run_text_classification.py

@@ -20,7 +20,6 @@ import json
 import logging
 import os
 import sys
-import warnings
 from dataclasses import dataclass, field
 from pathlib import Path
 from typing import Optional
@@ -194,12 +193,6 @@ 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={
@@ -229,15 +222,6 @@ 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_text_classification", model_args, data_args, framework="tensorflow")