Skip to main content

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

Project description

TF.Text is a TensorFlow library of text related ops, modules, and subgraphs. The library can perform the preprocessing regularly required by text-based models, and includes other features useful for sequence modeling not provided by core TensorFlow.

See the README on GitHub for further documentation. http://github.com/tensorflow/text

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tensorflow_text_nightly-2.16.0.dev20231023-cp311-cp311-macosx_10_9_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

tensorflow_text_nightly-2.16.0.dev20231023-cp310-cp310-macosx_10_9_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

tensorflow_text_nightly-2.16.0.dev20231023-cp39-cp39-macosx_10_9_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231023-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231023-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 84c54c2c542e96075aae02640797317066dc9754c850d5714aaab82e16eeca0e
MD5 262fb32ce46ebdd153d5897c4019d718
BLAKE2b-256 066ca0fca195b293326e5754ed4d4f61839c8e92962a2c6627b5e2d75550d44a

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231023-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231023-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 de4c4708839707bf0870928e1751de5536afae9a548f50ace7ad24a3dcbaec22
MD5 f12ee3d69a8d50d7cb505c635531c843
BLAKE2b-256 35da82c06e941d2e1a2402d5dbbcb9299e40cb8edf5c17586572ed5022c90bca

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231023-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231023-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ce2aba0d90eeff76ca0b3a8797cd49492093aa2bd8d6d6591223cd020376d714
MD5 b68a4018e278b0ec3d5f69f5eb3e27ff
BLAKE2b-256 4b330e61c7a2ca4745ef4512dc2e6403df80445e049065f9aa8318cadc6376db

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231023-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231023-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 05a6df149183177624ea072a568c45e87ea38e044b13d95ef0b30143cf61b174
MD5 26a96815dfc41d8ad8473e788496535d
BLAKE2b-256 42cb4e0cc3e470d2886e3cc5880be8e2bf709087917b7f83d38233a7d9f5e46e

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231023-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231023-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 184b97339da57b9d6025e9edf2452dc4bf5a9468e1a0d177e1f5fa8b9614c364
MD5 63b3830fac72831591bb43f2bc174b9b
BLAKE2b-256 e95c6c3424e4869d02f52e0b0eb982a3d40ee250f6e2deb247b466d8c3823ab7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page