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.dev20231112-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.dev20231112-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.dev20231112-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.dev20231112-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231112-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 abde8eeddc1418ad131087078a215c4a80335932abbf7f4e0a55e0e7dc868979
MD5 286f2e68bff9debad288972f89e47638
BLAKE2b-256 af52565c18772abb90202e44e4ed0f0707e704a982233fad2e4b495d3661b474

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231112-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231112-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 736e5206765f9b7aa053736ea0076032e1ce7e24c65cfcc86aeb00989f5c6717
MD5 60ccbe420e29eb82b1e62052f6aeea82
BLAKE2b-256 2ee306783a1b36e47787d50f3d5c22ff977faaddcb00d5027634b5dfbc085767

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231112-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231112-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1e788fdae0d0a78bcf949f986996371ace94f4d3d731684ce319c82151d33186
MD5 b957d5f69e901526a162190d0629c852
BLAKE2b-256 9d6a94aebba05d6636fe97498716886479c34c6b3706e7dfea138344774a65ec

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231112-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231112-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 671d43ba9775d98a49ee1431b33da491496ab2e2d9349598e052b5ac4899e447
MD5 cdd3d5dab40627c1e498c70beeedef3b
BLAKE2b-256 dab2623b97126a520dd3e76f0c58ef206947ac36d5706f6f7001f9ce13d7176e

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231112-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231112-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c2b6c2ae4b6f4b5e669b96f4d4f3b9981bbe1d26491fafde9ce6ac5fcd1c2b18
MD5 97d7d6abe7df7ab04adf73c68a4a7093
BLAKE2b-256 e6f306e33e9f96f5dbace43213fef3d9290fff98c593e6e0fc938d40b1e1c2b7

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.16.0.dev20231112-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.16.0.dev20231112-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 15631a9ac2519a6ce7a64d33384ee93058937b268b4bee247dcbdaf8e2bc3c67
MD5 80a3c50a348d632775c700fe72f4970f
BLAKE2b-256 9ade07881ec182ca24484da056523edcacc02339b6d92a66b4406bf4a8d208e3

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