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 0.9.0.dev20260328

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 0.9.0.dev20260328
File Interpreter ABI Platform
litert_torch_nightly-0.9.0.dev20260328-py3-none-any.whl Python 3 none any Details

Release files / litert_torch_nightly-0.9.0.dev20260328-py3-none-any.whl

Download URL litert_torch_nightly-0.9.0.dev20260328-py3-none-any.whl
Size 565.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9a3981ac41fc142ec7272a22ae7b542fa6cef43e1f23736c2b94d879961c3301
BLAKE2b-256 checksum
How to use checksums
05b77f1542162262438888e2d46487845cef1738a1a770dd163b93c6348b1877
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