Use Python 3.9 syntax in examples (#37279)

Signed-off-by: cyy <cyyever@outlook.com>

examples/pytorch/text-classification/run_classification.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python
-# coding=utf-8
 # Copyright 2020 The HuggingFace Inc. team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -21,7 +20,7 @@ import os
 import random
 import sys
 from dataclasses import dataclass, field
-from typing import List, Optional
+from typing import Optional
 
 import datasets
 import evaluate
@@ -256,7 +255,7 @@ class ModelArguments:
     )
 
 
-def get_label_list(raw_dataset, split="train") -> List[str]:
+def get_label_list(raw_dataset, split="train") -> list[str]:
     """Get the list of labels from a multi-label dataset"""
 
     if isinstance(raw_dataset[split]["label"][0], list):
@@ -537,7 +536,7 @@ def main():
         model.config.id2label = {id: label for label, id in label_to_id.items()}
     elif not is_regression:  # classification, but not training
         logger.info("using label infos in the model config")
-        logger.info("label2id: {}".format(model.config.label2id))
+        logger.info(f"label2id: {model.config.label2id}")
         label_to_id = model.config.label2id
     else:  # regression
         label_to_id = None
@@ -549,7 +548,7 @@ def main():
         )
     max_seq_length = min(data_args.max_seq_length, tokenizer.model_max_length)
 
-    def multi_labels_to_ids(labels: List[str]) -> List[float]:
+    def multi_labels_to_ids(labels: list[str]) -> list[float]:
         ids = [0.0] * len(label_to_id)  # BCELoss requires float as target type
         for label in labels:
             ids[label_to_id[label]] = 1.0
@@ -735,7 +734,7 @@ def main():
                     else:
                         item = label_list[item]
                         writer.write(f"{index}\t{item}\n")
-        logger.info("Predict results saved at {}".format(output_predict_file))
+        logger.info(f"Predict results saved at {output_predict_file}")
     kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "text-classification"}
 
     if training_args.push_to_hub:

examples/pytorch/text-classification/run_glue.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python
-# coding=utf-8
 # Copyright 2020 The HuggingFace Inc. team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");

examples/pytorch/text-classification/run_glue_no_trainer.py

@@ -1,4 +1,3 @@
-# coding=utf-8
 # Copyright 2021 The HuggingFace Inc. team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");

examples/pytorch/text-classification/run_xnli.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python
-# coding=utf-8
 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
 # Copyright (c) 2018, NVIDIA CORPORATION.  All rights reserved.
 #