Prepare a model for distributed training

You've decided to use the Hugging Face Accelerator library to train your language translation model. Now it's time to prepare your model for distributed training!

Some data has been pre-loaded:

accelerator is an instance of Accelerator
model, optimizer, train_dataloader, and lr_scheduler have been defined

Это упражнение является частью курса

Efficient AI Model Training with PyTorch

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Инструкции к упражнению

Call a method to prepare objects for distributed training.
Pass the training objects as positional arguments to accelerator.prepare(), matching the order of the output.

Интерактивное практическое упражнение

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# Prepare objects for distributed training
model, optimizer, train_dataloader, lr_scheduler = ____.____(
    # Pass in the training objects matching the order of the output
    ____,
    ____,
    ____,
    ____)

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