Train a model with a custom training script
Find or write a training script, test it locally, upload it to the registry, and run it on a dataset to train an ML model.
Find or write a training script, test it locally, upload it to the registry, and run it on a dataset to train an ML model.
Register a Docker Hub image with Viam so custom training jobs run in an environment with your dependencies already installed.
Give commands to your ML model service to make inferences based on a provided ML model.