Serving a Pytorch Model
Explore the steps to serve a PyTorch image classification model, including loading the best checkpoint, preprocessing input images, running inference with no gradient tracking, and extracting top prediction probabilities. This lesson equips you to adapt model serving code into Python applications for real-world deployment.
We'll cover the following...
We'll cover the following...
After each training, we’ll have a few checkpoints. The model_best.pth.tar is the best-performing model, and we’ll use it for inference.
Load checkpoint
Initialize the following variables and load our ...