LoopsCheckpointConfig

class baseten.client.managementapi.LoopsCheckpointConfig(*, run_id, checkpoint_name, target='trainer', typ='loops_checkpoint')

Bases: BaseModel

Parameters:

• run_id (str)

• checkpoint_name (str)

• target (Literal['trainer', 'sampler'] | str)

• typ (Literal['loops_checkpoint'])

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].