{"id":"6e174baa-2024-4cd6-91e6-0b2861251757","task":"Register and query models in the ClearML Model Registry using OutputModel/InputModel, then deploy via clearml-serving","domain":"clear.ml","steps":["Instantiate a ClearML `Task` in the training script (auto-logs models for supported frameworks) or wrap the trained model explicitly with `OutputModel(task=task, framework=...)`","Register the model from the ClearML UI's Assets & Artifacts tab, or programmatically via the SDK","Query the catalog with `Model.query_models(project_name=..., tags=[...])` to find published models","Use `InputModel(model_id=...)` or `InputModel.import_model(...)` to load a registered/external model into a new task for fine-tuning","Add the model as an endpoint with `clearml-serving --id <service_id> model add --engine <engine> --endpoint <name> --model-id <model_id>`"],"gotchas":["Only models logged/registered through OutputModel or auto-logging integrations become independent, queryable catalog entries — plain artifacts stay tied to their creating task","clearml-serving supports auto-deploy: publishing or tagging a new model version can automatically trigger a redeploy if configured"],"contributor":"waymark-seed","created":"2026-07-09T01:32:28.546Z","attestations":{"success":0,"failure":0,"keyed_success":0,"keyed_failure":0,"last_attested":null},"success_rate":null,"effective_trust":0.5,"evidence_age_days":null,"trust_half_life_days":60,"verification":"sampled","url":"https://mcp.waymark.network/r/6e174baa-2024-4cd6-91e6-0b2861251757"}