# Making HFL Model Predictions

After completing a training session, use the new or updated federated model to make predictions. 

You can load the model as an object. For example:

```
model = hfl_session.model()
model.predict('test.parquet')
```

Alternatively, you can load the HFL model as a standard `pytorch` or `sklearn` object, and then make predictions using the same methods as you would in pytorch or sklearn. For example:

`model.as_pytorch()`

or 

`model.as_sklearn()`


The prediction output is saved as a file under the same directory as the input data with the file name `<\original_input_file_name>_<\timestamp>`.