Scale Vision Transformers (ViT) Beyond Hugging Face

Written by maziyar | Published 2022/08/25
Tech Story Tags: apache-spark | databricks | nlp | transformers | nvidia | pytorch | tensorflow | hackernoon-top-story | hackernoon-es | hackernoon-hi | hackernoon-zh | hackernoon-vi | hackernoon-fr | hackernoon-pt | hackernoon-ja

TLDRThe purpose of this article is to demonstrate how to scale out Vision Transformer (ViT) models from Hugging Face and deploy them in production-ready environments for accelerated and high-performance inference. By the end, we will scale a ViT model from Hugging Face by 25x times (2300%) by using Databricks, Nvidia, and Spark NLP.via the TL;DR App
no story
Written by maziyar | Principal AI/ML Engineer
Published by HackerNoon on 2022/08/25
ABOUTHow hackers start their afternoons. We publish tech stories and build publishing software.

READEntirely free library read by hundreds of millions to learn anything about any technology.

WRITEHackerNoon elevates quality technology writing far and wide across the interwebs.

PARTNERHackerNoon works directly with tech companies to place ads by content relevancy