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 0.4.0.dev20250317

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 0.4.0.dev20250317
File Interpreter ABI Platform
ai_edge_torch_nightly-0.4.0.dev20250317-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.4.0.dev20250317-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.4.0.dev20250317-py3-none-any.whl
Size 401.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
17453719640db949a308c4a5be201d01cf4cd9a4123cf48a82d99f509fc26e3a
BLAKE2b-256 checksum
How to use checksums
8e59b1d662f22bef75d8a0ba86ce0a32c8e5fe34c2e77510c4d968aedc06510f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.11

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