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RankGen is a suite of encoder models (100M-1.2B parameters) which map prefixes and generations from any pretrained English language model to a shared vector space. RankGen can be used to rerank multiple full-length samples from an LM, and it can also be incorporated as a scoring
pip install rankgen
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.12.0,<2.0.0>=4.20.1,<5.0.0>=0.1.96,<0.2.0>=4.5.1,<5.0.0rankgen publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.
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 .