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 0.6.0.dev20250818

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 0.6.0.dev20250818
File Interpreter ABI Platform
ai_edge_torch_nightly-0.6.0.dev20250818-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.6.0.dev20250818-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.6.0.dev20250818-py3-none-any.whl
Size 439.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3a5b27394bc61c89faebe46ea5bdd1a59e12736c9abbf5331f65d064d7c50213
BLAKE2b-256 checksum
How to use checksums
62fb149c5ad30ab9d7a1c2481a70f102de405313df1ab7ce5f473778ab743055
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.13

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