Beta9 allows you to create highly-available storage volumes that can be used across tasks. You might use volumes for things like storing model weights or large datasets.

​
Mounting a Volume

Volumes can be attached to a container using the volumes parameter. By default, Volumes are shared across all apps in your account. 
from beta9 import function, Volume


VOLUME_PATH = "./model_weights"


@function(
    volumes=[Volume(name="model-weights", mount_path=VOLUME_PATH)],
)
def load_model():
    from transformers import AutoModel

    # Load model from cloud storage cache
    AutoModel.from_pretrained(VOLUME_PATH)

​
Browsing Volume Contents

You can list all your volumes through the web dashboard, or CLI using the beta9 volume list command. You can also browse all contents of a volume with the beta9 volume ls command:

​
Deleting Volumes

You can delete a volume in the web dashboard. Click the three-dots icon next to a volume, and click Delete Volume to permanently delete it.