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.dev20250228

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.dev20250228
File Interpreter ABI Platform
ai_edge_torch_nightly-0.4.0.dev20250228-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.4.0.dev20250228-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.4.0.dev20250228-py3-none-any.whl
Size 382.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c2dd51a42a482b28ec2d74b5d69b033f607c4c869ab6d9ab49a618421b605dd7
BLAKE2b-256 checksum
How to use checksums
933bd841653dc56c5498769250c7303125af5a1344736196d12be3b9cfee2600
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