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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Serving the exported model

Once the model has been exported, it can be started or served by using tensorflow_model_server, with a command such as the following:

tensorflow_model_server --port=9000 --model_name=<modelname> --model_base_path=<modelpath>

You can replace the <> with the corresponding model name and path where the model is exported.

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