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Project description

# Modelhub

A CLI tool to manage your models.

## Commands

It takes a TensorFlow SaveModel file, uploads it with version and meta info, and checkouts it to local.

- info model_name[@version_number]

- create model_name -m “comment”

- submit model_name -m “comment” [–batching_config=batching_config.txt] model_path

- checkout model_name[@version_number]

- deploy model_name[@version_number] [CPU/GPU] [online/offline] [instance-number] [offline]

## NTF models

ModelHub ogirinally supports uploading only TensorFlow-based models. From 0.0.8, it supports NTF models.

To prepare NTF models, you need create a new folder containing two subfolders: variables and assets

  1. varibles: storing trained models
  2. assets: storing any other data files, for example, feature dictionaries.

## Python API pass get model path by model name [and version]

checkout model

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