Mastering Transformers | 10. Serving Transformer Models
Автор: Code in Action
Загружено: 2021-07-23
Просмотров: 170
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Mastering Transformers is available from:
Packt.com: https://bit.ly/2WhpFLD
Amazon: https://amzn.to/2Ujbchy
This is the “Code in Action” video for chapter 10 of Mastering Transformers by Savaş Yıldırım and Meysam Asgari-Chenaghlu, published by Packt. It includes the following topics:
00:11 fastAPI Transformer model serving
01:21 Dockerizing APIs
04:46 Faster Transformer model serving using TFX
08:02 Load testing using Locust
Explore the accurate and fast fine-tuning capabilities of transformer-based language models and understand how they outperform traditional machine learning-based approaches when solving challenging Natural Language Understanding (NLU) problems. Developers working with the transformers architecture will be able to put their knowledge to work with this practical guide.
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Video created by Savaş Yıldırım and Meysam Asgari-Chenaghlu
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