Installation
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Installing tensorflow_hub
The tensorflow_hub library can be installed alongside TensorFlow 1 and
TensorFlow 2. We recommend that new users start with TensorFlow 2 right away,
and current users upgrade to it.
Use with TensorFlow 2
Use pip to
install TensorFlow 2 as usual. (See there
for extra instructions about GPU support.) Then install a current version of
tensorflow-hub next to it (must be
0.5.0 or newer).
$ pip install "tensorflow>=2.0.0"
$ pip install --upgrade tensorflow-hub
The TF1-style API of TensorFlow Hub works with the v1 compatibility mode of
TensorFlow 2.
Legacy use with TensorFlow 1
TensorFlow 1.15 is the only version of TensorFlow 1.x still supported by the
tensorflow_hub library (as of release 0.11.0). TensorFlow 1.15 defaults to
TF1-compatible behavior but contains many TF2 features under the hood to allow
some use of TensorFlow Hub's TF2-style APIs.
$ pip install "tensorflow>=1.15,<2.0"
$ pip install --upgrade tensorflow-hub
Use of pre-release versions
The pip packages tf-nightly and tf-hub-nightly are built automatically from
the source code on github, with no release testing. This lets developers try out
the latest code without building from source.
$ pip install tf-nightly
$ pip install --upgrade tf-hub-nightly
Next Steps
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-04-15 UTC.
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