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.dev20240607-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.2.0.dev20240607-py3-none-any.whl
Algorithm Hash digest
SHA256 643baf9a5f44409a324c74c465b669f60c4abe65ba87add7380af67ae7977e7e
MD5 f1c4ae3561ceb7b3289c124be6f8a1ae
BLAKE2b-256 4aa677232dffb52275980d54bf786ae206a403d9a9734ace44bc7e67a39cc347

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