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It's possible, as HPS also provides Python API, HPS API is used together with ONNX Runtime API to create integrated inference models, where HPS is responsible for embedding table lookup and ONNX model is responsible for feedforward of dense neural networks. You can refer to here
Hi,
If I want to train a model with pytorch, and inference by onnxruntime, may I use hps(redis、rocksdb) to pass parameters?
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