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

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file ai_edge_torch_nightly-0.8.0.dev20251120-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.8.0.dev20251120-py3-none-any.whl
Algorithm Hash digest
SHA256 28ca385351b919ed96ae5edc685a0a32731ccd9c1a76504d89230c1706016f2c
MD5 e33a32b2c7420d890cd1b3538a293d83
BLAKE2b-256 5902bb5dabc8389c33a5e87b5246ed1d00e5ecf5f317ec970102dea465cbb2b3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page