tensorflow/text
A TensorFlow library offering text processing operations as native TensorFlow ops for ML pipelines.
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TensorFlow Text provides a collection of text-based ops and classes that integrate directly into TensorFlow data pipelines. It enables common text preprocessing tasks such as tokenization, normalization, and Unicode handling to execute as TensorFlow ops, allowing text processing to run efficiently on GPUs, TPUs, or CPUs within ML training and inference workflows.
Frequently asked
- What is tensorflow/text?
- A TensorFlow library offering text processing operations as native TensorFlow ops for ML pipelines.
- Is text open source?
- Yes — tensorflow/text is open source, released under the Apache-2.0 license.
- What language is text written in?
- tensorflow/text is primarily written in C++.
- How popular is text?
- tensorflow/text has 1.3k stars on GitHub.
- Where can I find text?
- tensorflow/text is on GitHub at https://github.com/tensorflow/text.