tensorflow-text 2.16.1

TF.Text is a TensorFlow library of text related ops, modules, and subgraphs.

Stars: 1196, Watchers: 1196, Forks: 324, Open Issues: 165

The tensorflow/text repo was created 4 years ago and the last code push was 3 hours ago.
The project is very popular with an impressive 1196 github stars!

How to Install tensorflow-text

You can install tensorflow-text using pip

pip install tensorflow-text

or add it to a project with poetry

poetry add tensorflow-text

Package Details

Author

Google Inc.

License

Apache 2.0

Homepage

http://github.com/tensorflow/text

PyPi:

https://pypi.org/project/tensorflow-text/

GitHub Repo:

https://github.com/tensorflow/text

Classifiers

• Scientific/Engineering
• Scientific/Engineering/Artificial Intelligence
• Software Development
• Software Development/Libraries
• Software Development/Libraries/Python Modules

Related Packages

Errors

A list of common tensorflow-text errors.

Code Examples

Here are some tensorflow-text code examples and snippets.

GitHub Issues

The tensorflow-text package has 165 open issues on GitHub

• bert_tokenizer_params in Subword tokenizers guide
• Add an extra constructor to tflite::shim::Shape for convenience.
• Optimize FastWordPiece to only generate requested outputs.
• Use the stable version of tf-text.
• Update broken link and fix typo in BERT-SNGP demo notebook
• TestTFVersions_1
• Update test to fix python segfault.
• Wrong call to mean() in https://www.tensorflow.org/text/tutorials/text_generation
• Updates the regular expression matching to be able to match running the script multiple times.
• Some code changes
• Allow fast word piece tokenizer to take in external word piece model.
• Update text_classification_rnn.ipynb
• Test 4.2.2
• cannot build, still numpy error
• Fixing a small typo for 'masked_lm_positions'

See more issues on GitHub