Access production ready models#

You can access and download model files based on their stage using the fetch_model_versions_table() method.

The following example illustrates how to download production-stage model files.

Assumptions

There exists a model with the ID CLS-PRE, which has at least one version with the stage set to "production".
There are model binaries stored in the "model/binary" field of the model version.

Initialize a registered model and fetch its versions:
```
model = neptune.init_model(
    with_id="CLS-PRE", # (1)!
)

model_versions_df = model.fetch_model_versions_table().to_pandas()
```
1. The Neptune ID of the model
How do I find the ID?

The Neptune ID is a unique identifier for the run. In the table view, it's displayed in the leftmost column.

The ID is stored in the system namespace (sys/id).

If the run is active, you can obtain its ID with run["sys/id"].fetch(). For example:
```
>>> run = neptune.init_run(project="ml-team/classification")
>>> run["sys/id"].fetch()
'CLS-26'
```

Filter the pandas DataFrame for model versions with the stage set to "production":

production_models = model_versions_df[
    model_versions_df["sys/stage"] == "production"
]

Initialize each model version and download the files from the model/binary field:

for index, model_version in production_models.iterrows():
    version_id = model_version["sys/id"]
    model_version = neptune.init_model_version(version=version_id)
    model_version["model/binary"].download(f"{version_id}_model.xgb")