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Optimizing ML Model Loading Time Using LRU Cache in FastAPI 📈

Publicado el: 08 mayo 2023
en el canal de: Andrej Baranovskij
930
24

Are you facing challenges with the time it takes to load large ML models in your backend API? This video presents a practical solution: utilizing LRU cache with properly annotated functions. Implementing this approach will make your model cached in memory, eliminating the need for disk reads on subsequent calls. Enhance the efficiency and performance of your ML workflow by incorporating LRU cache techniques. Join us to learn more about this valuable strategy! 📘🖥️

Sparrow - data extraction from documents with ML:
https://github.com/katanaml/sparrow

0:00 Introduction
0:48 Sparrow
1:38 Code
2:33 LRU Cache
5:55 Summary

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#python #fastapi #machinelearning

En esta página del sitio puede ver el video en línea Optimizing ML Model Loading Time Using LRU Cache in FastAPI 📈 de Duración hora minuto segunda en buena calidad , que subió el usuario Andrej Baranovskij 08 mayo 2023, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 930 veces y le gustó 24 a los espectadores. Disfruta viendo!

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