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-0.8.0.dev20251227-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.8.0.dev20251227-py3-none-any.whl
Algorithm Hash digest
SHA256 cd24ec09096650954b81a3ab1bfce16b3dee6b9d84e530ee562ab1b193b7c366
MD5 e699d03545e6833105b1f99e8094147e
BLAKE2b-256 d77f82d95cfdcc3b71316304249dd5e0345b1c5400b64c1cd9505483ab8da82c

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