In this video, I show you how to accelerate Transformer inference with Optimum, an open-source library by Hugging Face, and Better Transformer, a PyTorch extension available since PyTorch 1.12.

Using an AWS instance equipped with an NVIDIA V100 GPU, I start from a couple of models that I previously fine-tuned: a DistilBERT model for text classification and a Vision Transformer model for image classification. I first benchmark the original models, then I use Optimum and Better Transformer to optimize them with a single line of code, and I benchmark them again. This simple process delivers a 20–30% percent speedup with no accuracy drop!