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Querying metadata from the model registry#

By initializing a Model or ModelVersion object, you can query and download metadata and files stored for that model or its version.

Use the Neptune ID and available methods to fetch what you need, in the same way as you would for runs.


Downloading a model signature, if it exists#

import as neptune

model = neptune.init_model(with_id="CLS-PRE")  # ID of existing model

if model.exists("model/signature"):

In the above example, CLS-PRE is the ID of the model.

How do I find the ID?

The Neptune ID is a unique identifier for the object. It's shown in the leftmost column of the table view.

The ID is stored in the system namespace, in the "sys/id" field.

Listing all versions of a model#

import as neptune

model = neptune.init_model(with_id="CLS-PRE")

model_versions_df = model.fetch_model_versions_table().to_pandas()


You can specify which fields to include in the returned table with the columns argument.

For examples, see API referencefetch_model_versions_table().

Fetching validation metrics of a model version#

import as neptune

model_version = neptune.init_model_version(with_id="CLS-PRE-4")

val_metrics = model_version["validation/metrics"].fetch()

In the above example, CLS-PRE-4 is the ID of the model version.

Difference between model and run#

The available methods for run and model objects are the same, with the following notable exceptions:

  • change_stage() → only for ModelVersion objects
  • fetch_model_versions_table() → only for Model objects


    The Project class has a similar method for downloading the runs and models table, respectively:

API reference pages#