Load an image you'd like to run inference on: | |
ds = load_dataset("food101", split="validation[:10]") | |
image = ds["image"][0] | |
The simplest way to try out your finetuned model for inference is to use it in a [pipeline]. |
Load an image you'd like to run inference on: | |
ds = load_dataset("food101", split="validation[:10]") | |
image = ds["image"][0] | |
The simplest way to try out your finetuned model for inference is to use it in a [pipeline]. |