Added scikit-learn to the example image-classification requirements.txt

[mylonjones]

Fix dependency in examples/pytorch/image-classification/requirements.txt

I ran into an error when trying to run the image-classification example with the following program
transformers\examples\pytorch\image-classification\run_image_classification.py

First I ran pip install -r requirements.txt and tried to run the program using the example in the README.md

python run_image_classification.py --dataset_name beans --output_dir ./beans_outputs/ --remove_unused_columns False --label_column_name labels --do_train --do_eval --push_to_hub --push_to_hub_model_id vit-base-beans --learning_rate 2e-5 --num_train_epochs 5 --per_device_train_batch_size 8 --per_device_eval_batch_size 8 --logging_strategy steps --logging_steps 10 --eval_strategy epoch --save_strategy epoch --load_best_model_at_end True --save_total_limit 3 --seed 1337

Then I got this error.

Traceback (most recent call last):
  File "C:\Users\mylon\transformers\examples\pytorch\image-classification\run_image_classification.py", line 441, in <module>
    main()
    ~~~~^^
  File "C:\Users\mylon\transformers\examples\pytorch\image-classification\run_image_classification.py", line 294, in main       
    metric = evaluate.load("accuracy", cache_dir=model_args.cache_dir)
  File "C:\Users\mylon\.venv\Lib\site-packages\evaluate\loading.py", line 751, in load
    evaluation_cls = import_main_class(evaluation_module.module_path)
  File "C:\Users\mylon\.venv\Lib\site-packages\evaluate\loading.py", line 76, in import_main_class
    module = importlib.import_module(module_path)
  File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.1008.0_x64__qbz5n2kfra8p0\Lib\importlib\__init__.py", line 88, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<frozen importlib._bootstrap>", line 1387, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1360, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1331, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 935, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 1026, in exec_module
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "C:\Users\mylon\.cache\huggingface\modules\evaluate_modules\metrics\evaluate-metric--accuracy\f887c0aab52c2d38e1f8a215681126379eca617f96c447638f751434e8e65b14\accuracy.py", line 17, in <module>
    from sklearn.metrics import accuracy_score
ModuleNotFoundError: No module named 'sklearn'

So I ran pip install sklearn and got this error.

Collecting sklearn
  Using cached sklearn-0.0.post12.tar.gz (2.6 kB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... error
  error: subprocess-exited-with-error

  × Getting requirements to build wheel did not run successfully.
  │ exit code: 1
  ╰─> [15 lines of output]
      The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
      rather than 'sklearn' for pip commands.
     
      Here is how to fix this error in the main use cases:
      - use 'pip install scikit-learn' rather than 'pip install sklearn'
      - replace 'sklearn' by 'scikit-learn' in your pip requirements files
        (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
      - if the 'sklearn' package is used by one of your dependencies,
        it would be great if you take some time to track which package uses
        'sklearn' instead of 'scikit-learn' and report it to their issue tracker
      - as a last resort, set the environment variable
        SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
     
      More information is available at
      https://github.com/scikit-learn/sklearn-pypi-package
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.

So finally I added scikit-learn to the requirements.txt file and installed it and now the program works just fine.

Here are my system details.

• transformers version: 4.52.0.dev0
• Platform: Windows-10-10.0.19045-SP0
• Python version: 3.13.3
• Huggingface_hub version: 0.30.2
• Safetensors version: 0.5.3
• Accelerate version: 1.6.0
• Accelerate config: not found
• DeepSpeed version: not installed
• PyTorch version (GPU?): 2.6.0+cpu (False)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using distributed or parallel set-up in script?: NO

I would like to make this contribution because I think it would people some time when trying out this example program.

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• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you read the contributor guideline,
  Pull Request section?
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• Did you write any new necessary tests?

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[mylonjones]

@amyeroberts, @qubvel

[qubvel]

Thanks!