Flaml/Automl - How do I pass a huge lightgbm input '.bin' file directly to lightgbm for training via flaml/automl?

Is there a way to pass a huge lightgbm input '.bin' file directly to lightgbm for training via flaml/automl?

The lightgbm c, cli allow me to specify directly the input file (like .bin or .csv) to use for training, it is optimize for memory.
In python it requires lgb,Dataset(data='foo.bin') as far as I know

How do I do this with flaml/automl?

```
import lightgbm as lgb

# Set up the parameters
params = {
'objective': 'multiclass',
'num_classes': num_classes,
# Add other parameters as needed
}

# Train the model with the .bin file
model = lgb.train(params, lgb.Dataset(data='path_to_file.bin'), num_boost_round=num_rounds)

```
Thanks for your help
w