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-2.19.0.dev20241014-cp311-cp311-macosx_11_0_arm64.whl (6.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tensorflow_text_nightly-2.19.0.dev20241014-cp310-cp310-macosx_11_0_arm64.whl (6.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tensorflow_text_nightly-2.19.0.dev20241014-cp39-cp39-macosx_11_0_arm64.whl (6.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

File details

Details for the file tensorflow_text_nightly-2.19.0.dev20241014-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.19.0.dev20241014-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 84b262ea28c59403e8be69fecdb840f788db7c6ff52d175e4c7e7835562749a2
MD5 32b91d30bc0abb67a8045e08fa510979
BLAKE2b-256 db883dcc9bceb66c82fee8054beb650a151e3f0e3ba4a4560ddf7fc6b28de66c

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.19.0.dev20241014-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.19.0.dev20241014-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d0b539306f97817c142bc6a5d2842c7b7edb9f1e599de31971e8640c3acb41b3
MD5 53eb61fe55c7d6dc85588f23cf5e4b80
BLAKE2b-256 4b83fa112e676bb5282f54c29af7eb5fa4f53e9338115b1d496e902158886939

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.19.0.dev20241014-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.19.0.dev20241014-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 81dc4eb007e51a409d8bc7c9e9543d8c86985e5d2a1aaae0af4a16b0134fcac8
MD5 6f46e2be0433e04d2fb1f494016fcd4f
BLAKE2b-256 552830d518e2489a003ff19c09ccf20ab055cb8477926868d22f96dceeeadb53

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.19.0.dev20241014-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.19.0.dev20241014-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 916e799dbc2f2c107ee6f9f7bf92628c6b9ef6754ef00fb80263b311a58516f8
MD5 d40139421f306f8906a79e08a95f64ca
BLAKE2b-256 7d68f2d40f31d64ca7f4c1ed3f2c63e903126ce004814fd6d62fcaf24db7fc7d

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.19.0.dev20241014-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.19.0.dev20241014-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e369070058e199e64f1bfc882a238361b9fd6bdc07a4d666b0ef9fae4e9e5f26
MD5 77bf0365526f65b7a5644448682a9a0d
BLAKE2b-256 5a7d706f6ac9aff06426db27fc10d174a8787aee5723283c2897cf2f1c94e225

See more details on using hashes here.

File details

Details for the file tensorflow_text_nightly-2.19.0.dev20241014-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tensorflow_text_nightly-2.19.0.dev20241014-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e33cd8ad15bc2c86246123a189a54580be0abfc0d3e26a9c850f338249239587
MD5 7f3b67420ede33dcfc7150e2629af7e0
BLAKE2b-256 63bb601c810a50eda6c07242f9f516741039756b5fa55d2705f6e463f00e69a2

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