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.dev20250426-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.5.0.dev20250426-py3-none-any.whl
Algorithm Hash digest
SHA256 782b17435d6f42ea9d33c526e144cacebb4fc639774b4c52b27f75888a73edc6
MD5 fa770dc00a9510a04b8aabd3af7403c5
BLAKE2b-256 a9139941d6830284467b6415bcc3c0191343b30fbcc5545446c9c71eeb60d5ef

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