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.dev20260223

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.dev20260223
File Interpreter ABI Platform
litert_torch_nightly-0.9.0.dev20260223-py3-none-any.whl Python 3 none any Details

Release files / litert_torch_nightly-0.9.0.dev20260223-py3-none-any.whl

Download URL litert_torch_nightly-0.9.0.dev20260223-py3-none-any.whl
Size 540.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
76f5e9c079afaa5a0a68c9d3eac329f3a7d4a100496274597fc31ad64bb79337
BLAKE2b-256 checksum
How to use checksums
920743bd1232d39725fd7b3304bffde1009950ffb159802552a8c266374a22bf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.14

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