transformers-5.0.0pypi

download

# automatically generated by g-sorcery
# please do not edit this file

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training."

HOMEPAGE="https://github.com/huggingface/transformers"
LICENSE="Apache 2.0 License"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"

SLOT="0"
KEYWORDS="~amd64 ~x86"

IUSE="accelerate audio deepspeed ftfy hf-xet hub-kernels integrations ja modelcreation optuna ray retrieval sagemaker serving sklearn speech tokenizers torch"
DEPENDENCIES="dev-python/filelock[${PYTHON_USEDEP}]
	dev-python/huggingface-hub[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.17[${PYTHON_USEDEP}]
	>=dev-python/packaging-20.0[${PYTHON_USEDEP}]
	>=dev-python/pyyaml-5.1[${PYTHON_USEDEP}]
	>dev-python/regex-2019.12.17[${PYTHON_USEDEP}]
	dev-python/tokenizers[${PYTHON_USEDEP}]
	dev-python/typer-slim[${PYTHON_USEDEP}]
	dev-python/safetensors[${PYTHON_USEDEP}]
	>=dev-python/tqdm-4.27[${PYTHON_USEDEP}]
	ja? ( dev-python/fugashi[${PYTHON_USEDEP}] )
	ja? ( dev-python/ipadic[${PYTHON_USEDEP}] )
	ja? ( dev-python/unidic-lite[${PYTHON_USEDEP}] )
	ja? ( dev-python/unidic[${PYTHON_USEDEP}] )
	ja? ( dev-python/SudachiPy[${PYTHON_USEDEP}] )
	ja? ( dev-python/SudachiDict-core[${PYTHON_USEDEP}] )
	ja? ( dev-python/rhoknp[${PYTHON_USEDEP}] )
	sklearn? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	torch? ( dev-python/torch[${PYTHON_USEDEP}] )
	torch? ( dev-python/accelerate[${PYTHON_USEDEP}] )
	accelerate? ( dev-python/accelerate[${PYTHON_USEDEP}] )
	hf-xet? ( dev-python/hf-xet[${PYTHON_USEDEP}] )
	retrieval? ( dev-python/faiss-cpu[${PYTHON_USEDEP}] )
	retrieval? ( dev-python/datasets[${PYTHON_USEDEP}] )
	tokenizers? ( dev-python/tokenizers[${PYTHON_USEDEP}] )
	ftfy? ( dev-python/ftfy[${PYTHON_USEDEP}] )
	modelcreation? ( dev-python/cookiecutter[${PYTHON_USEDEP}] )
	sagemaker? ( dev-python/sagemaker[${PYTHON_USEDEP}] )
	deepspeed? ( dev-python/deepspeed[${PYTHON_USEDEP}] )
	deepspeed? ( dev-python/accelerate[${PYTHON_USEDEP}] )
	optuna? ( dev-python/optuna[${PYTHON_USEDEP}] )
	ray? ( dev-python/ray[${PYTHON_USEDEP}] )
	hub-kernels? ( dev-python/kernels[${PYTHON_USEDEP}] )
	integrations? ( dev-python/kernels[${PYTHON_USEDEP}] )
	integrations? ( dev-python/optuna[${PYTHON_USEDEP}] )
	integrations? ( dev-python/ray[${PYTHON_USEDEP}] )
	serving? ( dev-python/openai[${PYTHON_USEDEP}] )
	serving? ( >=dev-python/pydantic-2.0[${PYTHON_USEDEP}] )
	serving? ( dev-python/uvicorn[${PYTHON_USEDEP}] )
	serving? ( dev-python/fastapi[${PYTHON_USEDEP}] )
	serving? ( dev-python/starlette[${PYTHON_USEDEP}] )
	serving? ( dev-python/rich[${PYTHON_USEDEP}] )
	serving? ( dev-python/torch[${PYTHON_USEDEP}] )
	serving? ( dev-python/accelerate[${PYTHON_USEDEP}] )
	audio? ( dev-python/librosa[${PYTHON_USEDEP}] )
	audio? ( dev-python/pyctcdecode[${PYTHON_USEDEP}] )
	audio? ( dev-python/phonemizer[${PYTHON_USEDEP}] )
	audio? ( dev-python/kenlm[${PYTHON_USEDEP}] )
	speech? ( dev-python/torchaudio[${PYTHON_USEDEP}] )
	speech? ( dev-python/librosa[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"