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.dev20241018

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.dev20241018
File Interpreter ABI Platform
ai_edge_torch_nightly-0.3.0.dev20241018-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.3.0.dev20241018-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.3.0.dev20241018-py3-none-any.whl
Size 294.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0d76c8e850bed855f7e0568f106cf4bf3da9d877117db68197700aa6f8c4679f
BLAKE2b-256 checksum
How to use checksums
248090f49c4ec743ecf55a12a0702e9e3ae03ee45a8ebcfc1d47150184b3ea3d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.10

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