PyPI · #3818 most downloaded on PyPI

tensorflow-hub

0.16.11.1M downloads/motensorflow/hub ↗New releases in your daily digest, changelog included.

TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.

Last release 3 years ago
no release in 18 months
Release timing varies
gaps range from 2 months to 1.9 years
Most releases are documented
notes for 15 of 18 stable releases
Nothing withdrawn
no release was ever pulled
9 years old
20 releases · first in 2018

Release timeline

20 releases since 2018

2018202020222024

Releases

0.16.130 Jan 2024
Require tf-keras to be installed
Release 0.16.1

Require tf-keras to be installed
Open source →
0.16.022 Jan 2024Deprecated
Remove deprecated TF 1 API (LatestModuleExporter, register_module_for_export, ...)
Release 0.16.0

Enforce using Keras 2 by checking for installation of tf_keras

Remove deprecated TF 1 API (LatestModuleExporter, register_module_for_export, ...)
Open source →
0.15.0

One column per quarter.

Move LICENSE to tensorflow_hub/LICENSE.

Release 0.15.0

Require Python 3.9+.
Bump rules_license to 0.0.4.
Move LICENSE to tensorflow_hub/LICENSE.
Use license_files instead of license_file in setup.cfg.
Remove empty tools directory.

Open source →

0.14.013 Jul 2023

Remove make_image_classifier and make_nearest_neighbour_index.

Release 0.14.0

Remove make_image_classifier and make_nearest_neighbour_index.
Directly load https://hub.tensorflow.google.cn/* handles from GCS.

Open source →

0.13.014 Mar 2023

Minor fixes for importing Keras and TF Estimator.

Release 0.13.0

Minor fixes for importing Keras and TF Estimator.
Stop using distutils.version.
Require protobuf >= 3.19.6.
Require Python 3.7+.

Open source →

Additional notes

Release 0.13.0

Minor fixes for importing Keras and TF Estimator.
Stop using distutils.version.
Require protobuf >= 3.19.6.
Require Python 3.7+.

Open source →

0.12.014 Apr 2021Deprecated

Set the default value of shear_range to 0. shear_range is deprecated and incompatible when using TF ops for preprocessing.

Release 0.12.0

Improve support for compute_output_shape in hub.KerasLayer:
- This will now use the output_shape value provided on init, if present, before falling back to the default behavior.
Changes to make_image_classifier_tool:
- Add the option to read input with a tf.data.Dataset and use TF ops for preprocessing. Enabling this feature requires TF 2.5 or higher.
- Set the default value of shear_range to 0. shear_range is deprecated and incompatible when using TF ops for preprocessing.

Open source →

0.11.06 Jan 2021

Use the Keras load context in keras_layer.py.

Use the Keras load context in keras_layer.py.
Always use compressed model loading by default.
Documentation improvements.

Open source →

0.10.029 Oct 2020Deprecated

Support for RaggedTensor inputs/outputs is backported from TF2 SavedModels to the deprecated hub.Module class (Use of tf.compat.v1.ragged.placeholder(…

Enforce Python 3.5+ and TF1.15+.
Add ModelLoadFormat setting to switch between (un)compressed model loading.
Support for RaggedTensor inputs/outputs is backported from TF2 SavedModels to the deprecated hub.Module class (Use of tf.compat.v1.ragged.placeholder() in a module_fn is broken for TF2.3 and requires TF2.2 or TF2.4).
Bug fixes.

Open source →

0.9.019 Aug 2020

Add SavedModel.LoadOptions to hub.KerasLayer API to pass to load_v2.

Release 0.9.0

Add SavedModel.LoadOptions to hub.KerasLayer API to pass to load_v2.
Improved error messaging.
Documentation improvements.
Bug fixes.

Open source →

0.8.01 Apr 2020

Implemented make_nearest_neighbour_index tool.

Release 0.8.0

Implemented make_nearest_neighbour_index tool.
Added text FeatureColumn, hub.text_embedding_column_v2, for TF 2.x.
CORD-19 embedding colab.
Documentation improvements.
Bug fixes.

Open source →

0.7.031 Oct 2019

Added support for HubModule v1 in KerasLayer with default tags/signatures.

Release 0.7.0

Added support for HubModule v1 in KerasLayer with default tags/signatures.
Added support for the KerasLayer to specify tags, signature, as_dict, and output_key arguments.
Miscellaneous fixes to hub.KerasLayer
Documentation update for TensorFlow 2.
- Use hub.load() and hub.KerasLayer with TF2 (also works in 1.15).
- For TF1, hub.Module and it's associated APIs remain available.

Open source →

0.6.029 Aug 2019

Added two examples for exporting of Hub/TF2 modules.

Release 0.6.0

Added two examples for exporting of Hub/TF2 modules.
Switched to dense_features_v2 if a high enough TF version is installed.
Added tools/make_image_classifier for use with TF2.

Open source →

0.5.025 Jun 2019

Fixes in hub.KerasLayer related with regularizers, config serialization and usage with tf.estimator.

Release 0.5.0

Fixes in hub.KerasLayer related with regularizers, config serialization and usage with tf.estimator.
Updates to feature columns to be compatible with feature columns V2 apis and add hub.sparse_text_embedding_column for bag of words features.
Made hub.Module usable within tf.compat.v1.wrap_function.

Open source →

0.4.03 Apr 2019

hub.KerasLayer (for Hub/TF2 modules) can be used in graph mode and can be converted to/from a Keras config.

Release 0.4.0

hub.KerasLayer (for Hub/TF2 modules) can be used in graph mode and can be converted to/from a Keras config.
In TF1.x, hub.Module can be used inside a defun (helps with TPU).
References to TensorFlow Estimator correctly pick up its v1 API.

Open source →

0.3.01 Mar 2019

Initial support for Tensorflow 2.0

Release 0.3.0

Initial support for Tensorflow 2.0
Tensorflow Hub Library API for Tensorflow 2.0
Tensorflow Hub Keras API for Tensorflow 2.0
Enable using Tensorflow Hub library against Tensorflow 2.0 run-time.

Open source →

0.2.05 Dec 2018