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-0.2.0.dev20240605-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.2.0.dev20240605-py3-none-any.whl
Algorithm Hash digest
SHA256 0db5ca7fd729e84b6960f7fa590738cbca820ab4dd14222b037db07ea546df97
MD5 bf0f508ca4a68a725b898233a69bc57d
BLAKE2b-256 1d7d73986b3292d263cee4b23221e65b5e230fc972ad9ee67bed9de6cd8fa647

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