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-0.7.0.dev20251106-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_edge_torch_nightly-0.7.0.dev20251106-py3-none-any.whl
Algorithm Hash digest
SHA256 d96e5ed9d760c9fce19d3f796728bca38d01138dafbc5acaf93e7f8aef6a95eb
MD5 2a1089de603a2b01da9d477fed57148e
BLAKE2b-256 58d4c5fe35f5ce9b94c54a0c9e1aa216631221b6968b490797a73eb6441a1c73

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