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Transformer implementations for language modeling and ASR, with numpy-based attention primitives.
pip install custom-transformer
PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.
custom-transformer publishes 12 wheels and 0 source archives for version 0.1.0. Wheel platform tags: macosx_10_13_universal2, macosx_10_9_universal2, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.
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PyPI lists 1 release 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 .
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