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-0.6.0.dev20250831-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.6.0.dev20250831-py3-none-any.whl
Algorithm Hash digest
SHA256 21ce0027fca407f0043fd6545cc29dd6bf5595f705789dc1cac8e94d949232ec
MD5 4af397aca0c1991f324e82e54f0c8a12
BLAKE2b-256 7fd4f8061e58d389d346625de38c15a422d4e5486b95e27cf99cae337873ba74

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