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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

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Release files for tensorflow-text-nightly 2.20.0.dev20250314

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tensorflow_text_nightly-2.20.0.dev20250314-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
tensorflow_text_nightly-2.20.0.dev20250314-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details

Total release size: 53.9 MB

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