Source: transformers
Section: python
Priority: optional
Maintainer: openKylin Developers <packaging@lists.openkylin.top>
Rules-Requires-Root: no
Standards-Version: 4.6.2
Vcs-Git: https://gitee.com/openkylin/transformers
Vcs-Browser: https://gitee.com/openkylin/transformers
Homepage: https://github.com/huggingface/transformers
Build-Depends:
 debhelper-compat (= 13),
 dh-sequence-python3,
 python3-setuptools,
 python3-all,
 python3-filelock,
 python3-huggingface-hub (>= 1.5.0~),
 python3-numpy,
 python3-packaging,
 python3-yaml,
 python3-regex,
 python3-requests,
 python3-tqdm,
 python3-safetensors (>= 0.8.0~),
 python3-tokenizers (>= 0.23.1~)

Package: python3-transformers
Architecture: all
Depends:
 ${python3:Depends},
 ${misc:Depends},
 git,
# torch is auto-detected; not a hard runtime Depends at package level
Recommends: python3-torch,
            python3-accelerate,
            python3-fastapi,
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.

