Install this version:
emerge -a =localai-backend/speaker-recognition-4.11.0If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =localai-backend/speaker-recognition-4.11.0Or alternatively:
emerge --autounmask-write -a =localai-backend/speaker-recognition-4.11.0| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 4.11.0 | 8 |
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
# LocalAI speaker-recognition backend (voice identification and
# embedding scoring): three runtime-selectable engines — SpeechBrain
# encoders, plain ONNX embedding models via onnxruntime, and a
# transformers audio-classification head. The venv skeleton lives in
# local-ai-python.eclass; the wheels tarball carries speechbrain,
# HyperPyYAML and a ruamel.yaml pinned below 0.19: HyperPyYAML caps
# ruamel.yaml<0.19.0 and the 0.19 series removed the API it uses, so
# the venv shadows the tree's 0.19 ruamel instead of relaxing the cap.
EAPI=8
LOCAL_AI_PYTHON_EXES="backend.py engines.py"
LOCAL_AI_PYTHON_SMOKE_IMPORTS="backend engines speechbrain transformers onnxruntime"
inherit local-ai-python
DESCRIPTION="LocalAI speaker-recognition backend (gRPC server)"
LICENSE="MIT Apache-2.0"
RDEPEND+="
sci-ml/transformers[${PYTHON_SINGLE_USEDEP}]
sci-ml/torchaudio[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
dev-python/soundfile[${PYTHON_USEDEP}]
dev-python/ruamel-yaml-clib[${PYTHON_USEDEP}]
sci-libs/onnxruntime[python,${PYTHON_USEDEP}]
')
"
DEPEND="${RDEPEND}"
sci-ml/transformers[${PYTHON_SINGLE_USEDEP}] sci-ml/torchaudio[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' dev-python/soundfile[${PYTHON_USEDEP}] dev-python/ruamel-yaml-clib[${PYTHON_USEDEP}] sci-libs/onnxruntime[python,${PYTHON_USEDEP}] ')
sci-ml/transformers[${PYTHON_SINGLE_USEDEP}] sci-ml/torchaudio[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' dev-python/soundfile[${PYTHON_USEDEP}] dev-python/ruamel-yaml-clib[${PYTHON_USEDEP}] sci-libs/onnxruntime[python,${PYTHON_USEDEP}] ')