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

Bu egzersiz

Efficient AI Model Training with PyTorch

kursunun bir parçasıdır

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Egzersiz talimatları

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.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

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

Kodu Düzenle ve Çalıştır