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.dev20251215-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.8.0.dev20251215-py3-none-any.whl
Algorithm Hash digest
SHA256 c3bcd3167016c67595d029d2dd97380f743eda989a04d4d05ce7a6a5b1e295e7
MD5 bfcb217b3d0c0a8525bfccce4a750370
BLAKE2b-256 85dd8dddcdae5170ec64ec55279e04840dd0a306cf24baa423ea76f1b151a1c6

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