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/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")