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.dev20241017-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.3.0.dev20241017-py3-none-any.whl
Algorithm Hash digest
SHA256 a312f771a37d9a059f8118bfb94f06e758b44cf419c510b3c54f3790729b4cc0
MD5 6a86153538861617eb16fbee8364d68d
BLAKE2b-256 9231e6c251430c04ed280cd117500750c2bc6170ca0aef55ee6b6c8177b7644d

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