Provided I don't receive a better answer, one good approach would be to download the file onto the lambda functions storage, then load it with bst.load_model('path_to_model')
. based on this, each lambda function is allocated 500 MB of non persistent storage, which actually sits around for subsequent invocations of the same lambda function (until the lambda function goes cold).
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