Step 6: Using Activeloop Storage
Storing and loading datasets from Deep Lake Storage.
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Storing and loading datasets from Deep Lake Storage.
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You can store your Deep Lake Datasets with Activeloop by first creating an account in the or in the CLI using:
In order for the Python API to authenticate with your account, you should log in from the CLI using:
You can then access or create Deep Lake Datasets by passing the Deep Lake path to deeplake.dataset()
Public datasets such as 'hub://activeloop/mnist-train'
can be accessed without logging in.
Once you have an Activeloop account, you can create tokens in the (Organization Details -> API Tokens) and pass them to python commands that require authentication using: