Improve Performance on zero shot classification
Hello,I am just getting started with machine learning, but I am trying to use the zero shot learning that was just added recently.This is how I am initializing the classifier:classifier = pipeline("zero-shot-classification", model='facebook/bart-large-mnli', device=0)I’ve noticed that this is using only a single CPU core and a single GPU (even on aws  instances with multiple GPUs).Is there a flag that I need to use to tell it to use multiple GPUs? Or is this classifier limited to single GPU and single core performance?