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.dev20240709-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.2.0.dev20240709-py3-none-any.whl
Algorithm Hash digest
SHA256 a1a12f2d87faaa6d585cbece594f4146bf73b75c9e3b1c3fb66623f96b2c7d08
MD5 b169108db5ea9d2cd9cb0fc5803c1dd8
BLAKE2b-256 031baec233c1e5f3e71730f51a6d13de325fbd434f6682cfb200222e73af878a

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