Loads a module from a handle.
(string) the Module handle to resolve.
A set of strings specifying the graph variant to use, if loading from a v1 module.
Currently this method is fully supported only with Tensorflow 2.x and with modules created by calling 'export_savedmodel'. The method works in both eager and graph modes.
Depending on the type of handle used, the call may involve downloading a TensorFlow Hub module to a local cache location specified by the 'TFHUB_CACHE_DIR' environment variable. If a copy of the module is already present in the TFHUB_CACHE_DIR, the download step is skipped.
Currently, three types of module handles are supported: 1) Smart URL resolvers such as tfhub.dev, e.g.: https://tfhub.dev/google/nnlm-en-dim128/1. 2) A directory on a file system supported by Tensorflow containing module files. This may include a local directory (e.g. /usr/local/mymodule) or a Google Cloud Storage bucket (gs://mymodule). 3) A URL pointing to a TGZ archive of a module, e.g. https://example.com/mymodule.tar.gz.
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## Not run: model <- hub_load('https://tfhub.dev/google/tf2-preview/mobilenet_v2/feature_vector/4') ## End(Not run)
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