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.dev20250924-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.7.0.dev20250924-py3-none-any.whl
Algorithm Hash digest
SHA256 6047237da693d1e8815910584cdf61b82be95f1847df2e43d11023733a6162ec
MD5 fcc73ca3523b139a3a72b3dc6ed00397
BLAKE2b-256 3dd72921b0f7130d44d8930c9265e87e4db129e84a5ea982a3c6bf0ce926bbab

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