Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

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.

Metadata

Release files for ai-edge-torch-nightly 0.7.0.dev20251021

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for ai-edge-torch-nightly 0.7.0.dev20251021
File Interpreter ABI Platform
ai_edge_torch_nightly-0.7.0.dev20251021-py3-none-any.whl Python 3 none any Details

Release files / ai_edge_torch_nightly-0.7.0.dev20251021-py3-none-any.whl

Download URL ai_edge_torch_nightly-0.7.0.dev20251021-py3-none-any.whl
Size 441.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
77c79a17a8d60cef98c9610b45ed89f9de3991474192d2e15e0cf43514bd9034
BLAKE2b-256 checksum
How to use checksums
3270265f5b10c6e7aad885e12b3db25cfb029b465697e3f40199f85a7d0d41b8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.13

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page