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.dev20251004-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.7.0.dev20251004-py3-none-any.whl
Algorithm Hash digest
SHA256 eb35ecb14ac446e8a4e6386106159e5eb0e2193826319b7d922f1f6d2dfd8f1b
MD5 f299c08eb5d1305a8bb6a8046ba7d649
BLAKE2b-256 8805a7534d20e11f0484dd6ec8aa73a15c7bc9cb0dcf733f1a60f38a01730a1a

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