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-0.6.0.dev20250822-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.6.0.dev20250822-py3-none-any.whl
Algorithm Hash digest
SHA256 9dde97432b286be6e7f7d508ea093b322f17d4dcb46d8dcf8c0be8f3a5cb5b6d
MD5 307bd3f90aac6b70d59e679b7ca2019f
BLAKE2b-256 b7f25a25a1458af785a249b5134a97a899323f1a0a4474d572151462959dad82

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