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 0.3.0.dev20250108

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 0.3.0.dev20250108
File Interpreter ABI Platform
ai_edge_torch_nightly-0.3.0.dev20250108-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.3.0.dev20250108-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.3.0.dev20250108-py3-none-any.whl
Size 343.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
53d486c11371814d4ef2a23f513397213934df3ad3ec987bc0587a6d71be05c4
BLAKE2b-256 checksum
How to use checksums
5e31ca54bd7a3106212910c40c374f6c2b58daf361122d735c98b0ab2d8bd38a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 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