Install this version:
emerge -a =sci-ml/sherpa-onnx-bin-1.13.7
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-ml/sherpa-onnx-bin-1.13.7
Or alternatively:
emerge --autounmask-write -a =sci-ml/sherpa-onnx-bin-1.13.7
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=no
DISTUTILS_SINGLE_IMPL=1
DISTUTILS_EXT=1
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1
DESCRIPTION="Speech-to-text, TTS, speaker diarization etc. using onnxruntime (binary wheels)"
HOMEPAGE="
https://k2-fsa.github.io/sherpa/onnx/
https://github.com/k2-fsa/sherpa-onnx
https://pypi.org/project/sherpa-onnx/
"
# Install the ABI-specific bindings and ABI-independent core wheel together;
# $ORIGIN lookup requires their libraries in one sherpa_onnx tree.
AMD64_WHEEL_TAIL="manylinux2014_x86_64.manylinux_2_17_x86_64.whl"
ARM64_WHEEL_TAIL="manylinux2014_aarch64.manylinux_2_17_aarch64.whl"
AMD64_CORE_WHEEL="sherpa_onnx_core-${PV}-py3-none-manylinux2014_x86_64.whl"
ARM64_CORE_WHEEL="sherpa_onnx_core-${PV}-py3-none-manylinux2014_aarch64.whl"
case ${ARCH} in
amd64)
WHEEL_TAIL=${AMD64_WHEEL_TAIL}
CORE_WHEEL=${AMD64_CORE_WHEEL}
;;
arm64)
WHEEL_TAIL=${ARM64_WHEEL_TAIL}
CORE_WHEEL=${ARM64_CORE_WHEEL}
;;
esac
SRC_URI="
amd64? (
https://files.pythonhosted.org/packages/f6/b8/7176b23789f9f1814368b2faee2bf9ed4c16cb9e55498517a733114bd24d/${AMD64_CORE_WHEEL}
python_single_target_python3_12? ( https://files.pythonhosted.org/packages/d8/73/ff8144118eeaafb1e26d5c6303a2d539c3eaa7bff124d84d20d03b6f28fa/sherpa_onnx-${PV}-cp312-cp312-${AMD64_WHEEL_TAIL} )
python_single_target_python3_13? ( https://files.pythonhosted.org/packages/11/73/b1de9c13e8bc2d9bda56e8b39ef95a57d8d1be58db9f4e5eac7fa95a4521/sherpa_onnx-${PV}-cp313-cp313-${AMD64_WHEEL_TAIL} )
python_single_target_python3_14? ( https://files.pythonhosted.org/packages/75/35/307770b20118300068964f79ce6ea7bed02dd0fc0390534b05f2b362bed3/sherpa_onnx-${PV}-cp314-cp314-${AMD64_WHEEL_TAIL} )
)
arm64? (
https://files.pythonhosted.org/packages/b0/f3/edb7082cd721ce801bf8bb537a08c5c3771ad9d0b27ae4c943d23a1becdb/${ARM64_CORE_WHEEL}
python_single_target_python3_12? ( https://files.pythonhosted.org/packages/e1/41/1445fa6e18239a3b919acf15c0440c9c230fef91af11ebb51bf299ab46f1/sherpa_onnx-${PV}-cp312-cp312-${ARM64_WHEEL_TAIL} )
python_single_target_python3_13? ( https://files.pythonhosted.org/packages/3c/ce/59838be7d94cdaaf3d20c13f65030ec5a98112cdd5ff69e911f3a0959086/sherpa_onnx-${PV}-cp313-cp313-${ARM64_WHEEL_TAIL} )
python_single_target_python3_14? ( https://files.pythonhosted.org/packages/b4/40/856512a73abd175029d306f53a9cf93032a4e4b7aebbc8a91a11e1bdd925/sherpa_onnx-${PV}-cp314-cp314-${ARM64_WHEEL_TAIL} )
)
"
S="${WORKDIR}"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="-* ~amd64 ~arm64"
RESTRICT="strip"
QA_PREBUILT="
usr/lib/python3.*/site-packages/sherpa_onnx/lib/*
usr/lib/python3.*/site-packages/sherpa_onnx.libs/*
"
# Require lazy-imported click so the CLI works. Block the colliding source
# package.
RDEPEND="
!sci-ml/sherpa-onnx
$(python_gen_cond_dep '
dev-python/click[${PYTHON_USEDEP}]
')
"
src_unpack() {
mkdir -p "${S}/wheels" || die
cp "${DISTDIR}/${CORE_WHEEL}" "${S}/wheels/" || die
local impl=${EPYTHON#python}
impl=${impl/./}
local py_wheel="sherpa_onnx-${PV}-cp${impl}-cp${impl}-${WHEEL_TAIL}"
cp "${DISTDIR}/${py_wheel}" "${S}/wheels/" || die
}
src_install() {
python_setup
local wheel
for wheel in "${S}"/wheels/*.whl; do
${EPYTHON} -m installer --destdir="${D}" "${wheel}" || die
done
python_optimize
}
pkg_postinst() {
elog ""
elog "sherpa-onnx ships no model files — each speech task needs its own"
elog "ONNX model bundle. Browse the catalog at"
elog " https://k2-fsa.github.io/sherpa/onnx/pretrained_models/"
elog ""
elog "For speaker diarization specifically, the maintained ONNX"
elog "conversion of pyannote-segmentation-3.0 + 3D-Speaker embeddings"
elog "lives at"
elog " https://huggingface.co/csukuangfj/sherpa-onnx-pyannote-segmentation-3-0"
elog "These are ungated (no HuggingFace token or model-card acceptance"
elog "required), unlike sci-ml/pyannote-audio's runtime models."
elog ""
}
!sci-ml/sherpa-onnx $(python_gen_cond_dep ' dev-python/click[${PYTHON_USEDEP}] ')