Quickstart

import mlstac

# Load only the metadata first (no weights are downloaded yet)
model = mlstac.load("https://example.com/my-model/mlm.json")

# Inspect what you have
print(model.get_model_summary())
model.print_schema()

# Download every file into a local folder; you get back a loader
# pointing at the local copy
local = model.download("./my-model")

# Build a usable model from the local files
net = local.compiled_model()

That is the whole loop: load metadata, inspect, download, build. The next pages break down each step.