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

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.dev20231223-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.dev20231223-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.dev20231223-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.dev20231223-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231223-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cf05b5e87f87c95e4c6bd103638c330b7ede9aaef57ce1310e0cb61b3a5c7a24
MD5 6861e1f22dded4797d5c4852de3bada6
BLAKE2b-256 100f6c54c23ace5025e52f524ab3eaed4ad09a1596d3dad40b2a079275b8da5f

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231223-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231223-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ef400ff2c8fa2b3b02d489dfc7d4b2a61e7a1d6bd0a96a4857952b24a6866c93
MD5 fdb9cec4661182124cafb90c43578341
BLAKE2b-256 8a734e474ea0e445befbed9919e6ad1eadd40c61b8144dd0be16074b11be50bc

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231223-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231223-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 17b0261b8268971b777761a0dabd41378df7ee38cf7a03616e3d7ef3c2d6f06c
MD5 27d484fb1f10d793eb992ed5c36b2c07
BLAKE2b-256 9d1d3b7888b1c9afcd583709315ca5c395278b1d60be4e15df25fc13717add9d

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231223-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231223-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a7abf1d17cd1c68e2f7ee10d92223c60d6346bb50daed14bd2038c4061842bce
MD5 f00e7296442fce71776a05696ec7984b
BLAKE2b-256 98f02e22882ffae00636cddf74f91fcd3063ad49cfe543657847aa29f57cd1c8

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231223-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231223-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4cb6c48d1c84733a2cf6e5bbd740fbd748b870f80077a4b21057182c0d274df2
MD5 c34917a90014e95c22d78414fb30977e
BLAKE2b-256 7b80ce57dad9bd39e119a4a581f795b59cd3886c0a62f5da88ff751ce21e811e

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231223-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231223-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e4ae1b240cdcebcfe250466c3cd4527b57e4255ec53d6db22491dd19519db97f
MD5 c9c2d8f1aac676d459dabe4b0f5e8b59
BLAKE2b-256 5334b41b680f4b56df6659328751189d37c473f715e8a65c961a293400bd7206

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