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 0.5.0.dev20250509
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_edge_torch_nightly-0.5.0.dev20250509-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.5.0.dev20250509-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.5.0.dev20250509-py3-none-any.whl |
|---|---|
| Size | 412.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.11.12
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