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-0.2.0.dev20240721-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.2.0.dev20240721-py3-none-any.whl
Algorithm Hash digest
SHA256 cba39fd0e109358c2dd979fe9d84012a19971ebb62fbf5cf4a23bb4c4df36d3f
MD5 1d99b89ccf69002570cbdc5981411fa0
BLAKE2b-256 03e9542ea61296b6803acc3455177126d831de9a07e0d9b357b7d90120da4d74

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