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


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

ai_edge_torch-0.2.1-py3-none-any.whl (210.9 kB view details)

Uploaded Python 3

File details

Details for the file ai_edge_torch-0.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 77c8e89f50cca2dbefab985b0996f51a054cd50e1bc9dc56f91400f3719f6d1f
MD5 13f784bdc7310b9b10e4de230b112f07
BLAKE2b-256 678d456d3b760dc5f2c71d40af6451acfe33a2a888d57afe00abe50efd246da0

See more details on using hashes here.

Provenance

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