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

File details

Details for the file ai_edge_torch_nightly-0.2.0.dev20240729-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.2.0.dev20240729-py3-none-any.whl
Algorithm Hash digest
SHA256 81bfd88c4b17f790220dd0bbaea81b4a9e332660ffd3979777a46fe743b16759
MD5 44dad41096352f573ce9d91c80451a81
BLAKE2b-256 907190a05a41fb5401cc000542377f83a67113a5649d6f227e17cb82260bce8e

See more details on using hashes here.

Supported by

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