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.dev20241001-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.3.0.dev20241001-py3-none-any.whl
Algorithm Hash digest
SHA256 6cbfd3ef07498bf3bcc5cae1c32ce5ac54d764cf4d67c2c354d9b97f7587cc2d
MD5 76c054f2fd2b9914e2474182792dc890
BLAKE2b-256 d021aa213b19a42bfa88a2f081eb0ec18f9f37f52c4bb2b626eff9b33563402d

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