Use a model

Your library

List everything your account owns with client.library.list(), and the models you may download with client.models.list().

Everything your account owns

python

from intura_ai import Intura

client = Intura()
for item in client.library.list():
    print(item.code, item.kind, item.current_version, item.versions)

This is the same list as the library page on the website: models, templates, courses and apps. Each entry is a LibraryItem:

Field	What it is
`code`	For a model, the slug you pass to `load`
`kind`	What it is, e.g. `"model"`, `"template"`, `"course"` or `"app"`
`title`	The product's name, in English when it has both languages
`language`	The language of the build, when there is one
`current_version`	The version downloaded when you name none
`versions`	Every version you can pin, newest first
`purchased_at`	When it was added to your library
`data`	Everything the service sent, as a dict

New fields appear in item.data before the package types them, so read from there rather than waiting for a release.

client.library.list() needs a download key, and it is the simplest way to check that a key works.

The models you may download

python

for info in client.models.list():
    print(info.slug, info.version, info.language, info.name)

client.models.list() lists the downloadable models, one per model and language, as ModelInfo entries with slug, name, language, version (the recommended version), tree, endpoint and files.

From a shell

bash

intura-ai library              # what your account owns
intura-ai library --json       # the same, as JSON
intura-ai models               # what you may download

Don't own a model yet? Browse the model catalogue.