Pre-release
This release is a pre-release and may not be stable for production use.
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
Metadata
Release files for tensorflow-text-nightly 2.18.0.dev20240713
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tensorflow_text_nightly-2.18.0.dev20240713-cp311-cp311-macosx_11_0_arm64.whl | CPython 3.11 | CPython 3.11 | macOS 11.0+ ARM64 | Details |
| tensorflow_text_nightly-2.18.0.dev20240713-cp310-cp310-macosx_11_0_arm64.whl | CPython 3.10 | CPython 3.10 | macOS 11.0+ ARM64 | Details |
| tensorflow_text_nightly-2.18.0.dev20240713-cp39-cp39-macosx_11_0_arm64.whl | CPython 3.9 | CPython 3.9 | macOS 11.0+ ARM64 | Details |
Total release size: 18.3 MB
Release files / tensorflow_text_nightly-2.18.0.dev20240713-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | tensorflow_text_nightly-2.18.0.dev20240713-cp311-cp311-macosx_11_0_arm64.whl |
|---|---|
| Size | 6.1 MB |
| Tags | CPython 3.11 macOS 11.0+ ARM64 |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
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Release files / tensorflow_text_nightly-2.18.0.dev20240713-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | tensorflow_text_nightly-2.18.0.dev20240713-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 6.1 MB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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| Uploaded via |
twine/5.1.1 CPython/3.10.14
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Release files / tensorflow_text_nightly-2.18.0.dev20240713-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | tensorflow_text_nightly-2.18.0.dev20240713-cp39-cp39-macosx_11_0_arm64.whl |
|---|---|
| Size | 6.1 MB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
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