Accelerate Natural Language Processing (NLP) models from Hugging Face on Arm servers

About this Learning Path

Who is this for?

This is an introductory topic for software developers who want to learn how to run and accelerate the performance of Natural Language Processing (NLP) models on Arm-based servers.

What will you learn?

Upon completion of this learning path, you will be able to:

• Deploy PyTorch NLP Sentiment Analysis models from Hugging Face on Arm servers.
• Evaluate the performance of three NLP models using the Sentiment Analysis pipeline.
• Measure the performance uplift of these models by enabling support for BFloat16 fast math kernels on Arm Neoverse-based AWS Graviton3 Processors.

Prerequisites

Before starting, you will need the following:

• An Arm-based instance from a cloud service provider or an on-premise Arm server.