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Paper Implementation: "TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation"
pip install tokenshap
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.19>=1.1>=3.3>=0.23>=4.0>=4.50>=5.3>=2.24TokenSHAP publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.
Declared Python classifiers: 3.7, 3.8, 3.9.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .