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.dev20231218-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.dev20231218-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.dev20231218-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.dev20231218-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231218-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3bf50e40968b22df3d1a5c588f062540988bf88050232a3531f408a3242bbdeb
MD5 2c05ce6a7bb0369cf67268d11774f1c0
BLAKE2b-256 61209f51b1eff1285ebd6877883da0ba17ac9beaf53728faae10b6bbb2e315ce

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231218-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231218-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ec1902263128713e2f610c7c278724a061ae574d5a045a310be3515357c2b14b
MD5 e757b79f9dc2167a849849d69ee6c22d
BLAKE2b-256 f6172559f787aeea062bf8d32b04e345a0025b4925f1854b1797c43374874618

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231218-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231218-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c0b91bf7f4b38de032cbac366def1ae4e21341f80282d1668a4e4db0f338d833
MD5 6eff8b5a65560efc35947a172d8ad31d
BLAKE2b-256 39b4713fe41a5cd01a8e3cb4e2d2be3629811b681d90f33b9b64aed329f35573

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231218-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231218-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 903c46abd2151f0dd48accb17d01f9d7a3591c746126f5649a8ca00185357e35
MD5 3bb32dbf570b82b5d07be71a324b4bf8
BLAKE2b-256 906d24d96bed0ae4b5a3fac330a698a273c69d242d8ea1c2ea3c8fbb549a320e

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231218-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231218-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e8ce6c6a1f02f9950960e020145e6406df696d7eb18dc2623e26757aca5e7048
MD5 5fea03eed25c99d100f5d85499079a82
BLAKE2b-256 688617b8f1c7067f6b1dae66273877a7443a21c1e1d1e9ffee25f8000e683fae

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231218-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231218-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1abe09656899917aa76cd8954d7b50856b2f622dbe148c26c8b12f4d24143d34
MD5 e30eb712dac9de0221abd2105ed6fec2
BLAKE2b-256 1cb21eb863bc4a643b0be4f948a5ef5a86b6f86eff55f043c5f7b03a800ddd25

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