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.dev20250903

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.dev20250903
File Interpreter ABI Platform
ai_edge_torch_nightly-0.6.0.dev20250903-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.6.0.dev20250903-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.6.0.dev20250903-py3-none-any.whl
Size 440.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d2881d08371a0621d20e594585805ddfd66005e6d850dd35a47c9c111fd89513
BLAKE2b-256 checksum
How to use checksums
10e0443093dcb42fd94d33d36aa27dd32a9e081cd69778400184ada2c233d6ef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 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