July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.