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.dev20240812

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.dev20240812
File Interpreter ABI Platform
ai_edge_torch_nightly-0.3.0.dev20240812-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.3.0.dev20240812-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.3.0.dev20240812-py3-none-any.whl
Size 221.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
63d8b41cdc3be4de280e87ea565cce7b9bb92685af27b2fd224370b3a485b6a3
BLAKE2b-256 checksum
How to use checksums
e87ffc86090181ed4858c4429f1a7e48ed074d4a364bab26272f672d9af9c0e2
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