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.dev20251030-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.7.0.dev20251030-py3-none-any.whl
Algorithm Hash digest
SHA256 6c1f44baaecd4b97f235f768f3cbccf307bcadb6af3b7343ffa2893414b899cf
MD5 f166dbf9f9c1b7d05a70e83c47557f26
BLAKE2b-256 8de2e6245ec7e5268169896e867e43c510db0241278f5a78c444d3d8063cba52

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