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Ukrainian NLP backend for word stress prediction — Luscinia lightgbm model (99.44 % accuracy) with ONNX browser export.
pip install ua-stress-engine
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
ua-stress-engine publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .