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.dev20240911

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.dev20240911
File Interpreter ABI Platform
ai_edge_torch_nightly-0.3.0.dev20240911-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.3.0.dev20240911-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.3.0.dev20240911-py3-none-any.whl
Size 251.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
040e1fcca6aa803dde7a17697338c791e2cbe7b4fe78c7b8ef35068f3c8f14ef
BLAKE2b-256 checksum
How to use checksums
5f8d3d2ddf34eeb75ad815f63297713ec56f0d7ba755c940f07b03e38dd3d1e5
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