Model PersistenceΒΆ

rasa NLU supports using S3 to save your models, using the boto3 module which you can install with pip install boto3

Get your S3 credentials and set the following environment variables:


If there is no bucket with the name $BUCKET_NAME rasa will create it. Models are gzipped before saving to S3.

If you run the rasa NLU server with a server_model_dir which does not exist and BUCKET_NAME is set, rasa will attempt to fetch a matching zip from your S3 bucket. E.g. if you have server_model_dir = ./data/model_20161111-180000 rasa will look for a file named model_20161111-180000.tar.gz in your bucket, unzip it and load the model.