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GPL is an unsupervised domain adaptation method for training dense retrievers. It is based on query generation and pseudo labeling with powerful cross-encoders. To train a domain-adapted model, it needs only the unlabeled target corpus and can achieve significant improvement over
pip install gpl
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
gpl publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 14 releases with files. The first dated release is ; 14 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .