Skip to main content

Supporting PyTorch models with the Google AI Edge TFLite runtime.

Project description

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file ai_edge_torch_nightly-0.8.0.dev20260117-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.8.0.dev20260117-py3-none-any.whl
Algorithm Hash digest
SHA256 5daa9dbef31f71ce2d548b0a8e6a94213c0125d13dd72e48238eeae82e359e8d
MD5 56817f754261cb03c18333ee043aff2e
BLAKE2b-256 01fcb3aa7cbd2aa3f27a9b29d7eec641f2a921f07a35d0fa7e78f4e0db60225a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page