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.dev20260617

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.dev20260617
File Interpreter ABI Platform
litert_torch_nightly-0.10.0.dev20260617-py3-none-any.whl Python 3 none any Details

Release files / litert_torch_nightly-0.10.0.dev20260617-py3-none-any.whl

Download URL litert_torch_nightly-0.10.0.dev20260617-py3-none-any.whl
Size 581.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
369551535e1874e3bf4150512d4a99f3c689eba791f8dc729e8454ee620d4ab4
BLAKE2b-256 checksum
How to use checksums
e326487d68d470ee132e38ba52c951ab5c2906d2acf63bfe7174b234d10a0028
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