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.dev20260203

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.dev20260203
File Interpreter ABI Platform
litert_torch_nightly-0.9.0.dev20260203-py3-none-any.whl Python 3 none any Details

Release files / litert_torch_nightly-0.9.0.dev20260203-py3-none-any.whl

Download URL litert_torch_nightly-0.9.0.dev20260203-py3-none-any.whl
Size 526.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0dc07fb76d86a4aad46e3975a923ef62e591f2dc7c576905695e60f586b2886a
BLAKE2b-256 checksum
How to use checksums
cecad2ffa472b683e835c79472788ca9f1564aec3dc6aeab91fa54c7f531b22f
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