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

File details

Details for the file ai_edge_torch_nightly-0.3.0.dev20241109-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.3.0.dev20241109-py3-none-any.whl
Algorithm Hash digest
SHA256 e0956f646c140eea3d398a387a2a74d23332dedc14c575c07b845f19770a7123
MD5 ad9c41ba56692f58ddb6f8ee33c8d203
BLAKE2b-256 2722c8141f96b5d7371aa4382a2ff0f4fdc26a53f600a3ac94680c02548cd505

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page