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 0.2.0.dev20240723

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 0.2.0.dev20240723
File Interpreter ABI Platform
ai_edge_torch_nightly-0.2.0.dev20240723-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.2.0.dev20240723-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.2.0.dev20240723-py3-none-any.whl
Size 209.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1ac86aae48829d980255d7b56fcd5da5c334fdf1b8e9f5ac696d61b2fa0eb649
BLAKE2b-256 checksum
How to use checksums
9b430d60e2c6f18bbc11e13ff32e587da554e5e01c8d9c79b90db5863a8c1146
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.9

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