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Dockerized AI on Large Models With NLP and Transformers

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19 May 2021CPOL5 min read 6.6K   51   3  
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 is part of the series 'Containerized AI and Machine Learning View All

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


Written By
Jarek Szczegielniak
Architect
Poland Poland
Jarek has two decades of professional experience in software architecture and development, machine learning, business and system analysis, logistics, and business process optimization.
He is passionate about creating software solutions with complex logic, especially with the application of AI.

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Posted 19 May 2021

Article Copyright 2021 by Jarek Szczegielniak
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