Skip to main content
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.dev20260521

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for litert-torch-nightly 0.10.0.dev20260521
File Interpreter ABI Platform
litert_torch_nightly-0.10.0.dev20260521-py3-none-any.whl Python 3 none any Details

Release files / litert_torch_nightly-0.10.0.dev20260521-py3-none-any.whl

Download URL litert_torch_nightly-0.10.0.dev20260521-py3-none-any.whl
Size 576.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a9af1656f6e5e480b9aca7065aaff568e193c7a13ffda016352f441ee68d5fbe
BLAKE2b-256 checksum
How to use checksums
d4d27898113a1d5bab0ade2ba95dd7a18da800bb29e6a24d23e96cf66262651f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.15

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page