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NVIDIA Deep Learning Examples
BART for PyTorch
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NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BART for PyTorch

BART is a denoising autoencoder for pretraining sequence-to-sequence models.

The following section lists the requirements that you need to meet in order to start training the BART model.

Requirements

This repository contains Dockerfile which extends the PyTorch NGC container and encapsulates some dependencies. Aside from these dependencies, ensure you have the following components:

For more information about how to get started with NGC containers, see the following sections from the NVIDIA GPU Cloud Documentation and the Deep Learning Documentation:

For those unable to use the PyTorch NGC container, to set up the required environment or create your own container, see the versioned NVIDIA Container Support Matrix.

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