Source: transformers
Section: python
Priority: optional
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Kohei Sendai <kouhei.sendai@gmail.com>
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.

