Deploying trained model in production

Hi all,

I have a trained model and I want to deploy this model for production. I am not sure how to do this. But with some research I ended up with a conclusion to use TensorFlow servings. am I in a right track? or any other suggestions would be really helpful.

Thanks,
Megha

We removed support for TensorFlow serving a long-time ago, but it could work, maybe with some hacking. How you want to deploy will depend on your usecase …

Once example: https://gitlab.com/deepspeech/ds-srv/tree/master/

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I’m just curious, why was the TF serving support removed?

What’s the best practice of serving a DS model as part of a docker or kubernetes environment nowadays?

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