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 TensorFlow Lite and MediaPipe. This enables applications for Android, iOS and IOT that can run models completely on-device.

Install steps and additional details are in the AI Edge Torch GitHub repository.

Metadata

Release files for ai-edge-torch-nightly 0.6.0.dev20250907

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 ai-edge-torch-nightly 0.6.0.dev20250907
File Interpreter ABI Platform
ai_edge_torch_nightly-0.6.0.dev20250907-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.6.0.dev20250907-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.6.0.dev20250907-py3-none-any.whl
Size 440.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7992c15d63de386764b21d7d0ac84d1c976b2294b266c2f7d4b0fcb28e9ebbae
BLAKE2b-256 checksum
How to use checksums
7b9dd1f5e10ff02bd1d3f7a107c6b78edf88fd9acfd4c9e1d17f11ada809221f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.13

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