Introduction

Hugging Face built Deep Learning Containers (DLCs) for Google Cloud customers to run any of their machine learning workload in an optimized environment, with no configuration or maintenance on their part. These are Docker images pre-installed with deep learning frameworks and libraries such as 🤗 Transformers, 🤗 Datasets, and 🤗 Tokenizers. The DLCs allow you to directly serve and train any models, skipping the complicated process of building and optimizing your serving and training environments from scratch.

The containers are publicly maintained, updated and released periodically by Hugging Face and the Google Cloud Team and available for all Google Cloud Customers within the Google Cloud’s Artifact Registry. They can be used from any Google Cloud service such as:

We are curating a list of notebook examples on how to programmaticaly train and deploy models on these Google Cloud services.

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