set-up `active learning` for `TokenClassifciation`

[David Berenstein]

Ideally we would be able to easily host active learners in a more abstract and intuitive process for TokenClassifciation too.

MVP

from argilla_plugins.active_learning import token_learner

token_learner(name="dataset", model="bert")
token_learner.start()

Stretch
filtering variables like query could be added to limit the sync. Things like threshold could be added to pre-annotate and validate certain data.