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Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
pip install happytransformer
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.2>=4.43<5.0.0,>=4.46.0<3.0.0,>=2.15.0<2.0.0,>=1.3.0<1.0.0,>=0.20.0happytransformer publishes 1 wheel and 1 source archive for version 3.0.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 24 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .