Factual package intelligence from PyPI
Accelerated nlp pipelines using Transformers, Optimum and ONNX Runtime
pip install optimum-transformers
PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<16.0,>=15.0<3.0,>=2.0<4.0,>=3.5<2.0,>=1.10==1.10==1.0.0<6.0,>=5.9<1.0,>=0.11<5.0,>=4.15<0.12,>=0.11.6<0.2,>=0.1.96The compact report shows 18 of 25 declarations. The interactive dependency graph loads the complete metadata.
optimum-transformers publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .