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I mostly agree that Rust's ML ecosystem could mature more (ok, I strongly agree with that, I'd love to get rid of more of our Python), but I'll note that serving simple pytorch image classification models using Rust with tch-rs works reasonably well. It takes some glue code to handle the initial image conversion into tensor representation and normalization, and the binary packaging can be painful (or at least I haven't found a less-painful way to deal with it), but it works.
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