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-0.5.0.dev20250425-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.5.0.dev20250425-py3-none-any.whl
Algorithm Hash digest
SHA256 63c513f2b5e73646e029e198a8e88897406e98704125083fe6c49b1c50522681
MD5 0d8d4052e0bac35b58529c2960cc6cf0
BLAKE2b-256 0f597cfcb758ff1988b122b521fabaa872b4b692d7b1ffc163686fa3be006040

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