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

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

ai_edge_torch-0.7.1-py3-none-any.whl (457.3 kB view details)

Uploaded Python 3

File details

Details for the file ai_edge_torch-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: ai_edge_torch-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 457.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for ai_edge_torch-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8916e1e4f8bc0b3752e64c26492868f6fbcac165b20ec074e664e1441cfdc334
MD5 0b3f78395a0d0fab8c4c58e1deea170d
BLAKE2b-256 58d20c4375c90568dba64ce7d8024769879534d7f84808fc8e08347532973ac5

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