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Dockerized AI on Large Models With NLP and Transformers

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19 May 2021CPOL5 min read
In this article we run an inference model for NLP using models persisted on a Docker volume.
Here we’ll continue to tackle large models, this time for Natural Language Processing (NLP) tasks with PyTorch and Transformers.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Jarek Szczegielniak
Architect Objectivity
Poland Poland
Jarek has two decades of professional experience in various areas, including machine learning, software design, development and testing, business and system analysis, project and team management, logistics and business process optimization.
He is passionate about creating service-oriented software solutions with complex logic, especially with the application of AI.

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