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-0.3.0.dev20240903-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.3.0.dev20240903-py3-none-any.whl
Algorithm Hash digest
SHA256 b6f28b31898626078ccd08282e1bf9a1a74d7ab244c2c6ce4cb4648a17b840d4
MD5 7015df5805253eccff2c638eac11414f
BLAKE2b-256 8d0368f382b36b27cbcc57721390dee2f4c17341f10a491359fff81d75c0c1b6

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