Pre-release
This release is a pre-release and may not be stable for production use.
Library that supports converting PyTorch models into a .tflite format, which can then be run with LiteRT. This enables applications for Android, iOS and IOT that can run models completely on-device.
Install steps and additional details are in the LiteRT Torch GitHub repository.
Metadata
Release files for litert-torch-nightly 0.10.0.dev20260523
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| litert_torch_nightly-0.10.0.dev20260523-py3-none-any.whl | Python 3 | none | any | Details |
Release files / litert_torch_nightly-0.10.0.dev20260523-py3-none-any.whl
| Download URL | litert_torch_nightly-0.10.0.dev20260523-py3-none-any.whl |
|---|---|
| Size | 576.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
2495cc44a3e859b13e48139b1002fc1fbc069fd374b8ed17ba47a7cba5d98461
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BLAKE2b-256 checksum How to use checksums |
970176f8773c6e2a9762ff901396417f19b1efe2940ed4dc98167631ff654465
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twine/6.2.0 CPython/3.11.15
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