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.dev20260616
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.dev20260616-py3-none-any.whl | Python 3 | none | any | Details |
Release files / litert_torch_nightly-0.10.0.dev20260616-py3-none-any.whl
| Download URL | litert_torch_nightly-0.10.0.dev20260616-py3-none-any.whl |
|---|---|
| Size | 581.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
cce39e6712581f3db67e263e32cad7467bdba95999a3c1b5b424eed69bd0032f
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c94f28b22455181bbaed2698f8dd3067b672cae1277041371c4c4eefa211b62b
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twine/6.2.0 CPython/3.11.15
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