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.dev20240919-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.3.0.dev20240919-py3-none-any.whl
Algorithm Hash digest
SHA256 1ee34ec4d63ddbcb8f7274111213c3efd381240a198454e11758870c8014108c
MD5 84d607552abed86038ca00b6fa3ca267
BLAKE2b-256 0abe04a028a9e56de4e016e68b4c58c6b07465f14c7a217268f439fe81f2ccf1

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