Source: transformers Section: python Priority: optional Maintainer: Debian Deep Learning Team Uploaders: Kohei Sendai Rules-Requires-Root: no #Testsuite: autopkgtest-pkg-python Standards-Version: 4.6.2 Homepage: https://github.com/huggingface/transformers Vcs-Browser: https://salsa.debian.org/deeplearning-team/transformers Vcs-Git: https://salsa.debian.org/deeplearning-team/transformers.git Build-Depends: debhelper-compat (= 13), dh-sequence-python3, python3-setuptools, python3-all, python3-filelock, python3-huggingface-hub, python3-numpy, python3-packaging, python3-yaml, python3-regex, python3-requests, python3-tqdm, python3-safetensors, python3-tokenizers Package: python3-transformers Section: python Architecture: all Depends: ${python3:Depends}, ${misc:Depends}, git Recommends: python3-torch | python3-torch-cuda | python3-torch-rocm, Suggests: python3-accelerate Description: State-of-the-art pretrained models for inference and training Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training. Use Transformers to fine-tune models on your data, build inference applications, and for generative AI use cases across multiple modalities.