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-0.7.0.dev20251111-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.7.0.dev20251111-py3-none-any.whl
Algorithm Hash digest
SHA256 e4b95e56738682deb82ddde416fc1828d36a4f4084078ca431a0614c19f85662
MD5 a0a3b2a30c1be85ca0cf6d398ad8e1f0
BLAKE2b-256 9712cb1c8ec837a631c9237a3613ad154d09162524761d2c66327b59dced4181

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