Ask HN: How is a ML model represented on disk? Genuinely curious and please point me to resources if this documented somewhere. I come from a “everything on a computer is a file” perspective and am curious what a model persisted on disk looks like? Is it essentially a long list of key value pairs where the key is the node “ID” and value is its “current”weight (may be from its last training?) Is there more to it? |