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name = "parakeet-tdt-ctc-110m-coreml"
version = "1.0.0"
description = "NVIDIA Parakeet-TDT-CTC-110M converted to CoreML format for Apple Silicon"
readme = "README.md"
requires-python = ">=3.10"
license = { text = "Apache-2.0" }
authors = [
{ name = "FluidInference" }
]
keywords = ["asr", "speech-recognition", "coreml", "apple-silicon", "nvidia", "parakeet"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Operating System :: MacOS",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Multimedia :: Sound/Audio :: Speech",
]
dependencies = [
"coremltools>=7.0",
"numpy>=1.24.0",
"scipy>=1.10.0",
]
[project.optional-dependencies]
convert = [
"torch>=2.0.0",
"nemo-toolkit[asr]>=1.20.0",
]
audio = [
"librosa>=0.10.0",
]
dev = [
"pytest>=7.0.0",
"ruff>=0.1.0",
]
[project.urls]
Homepage = "https://huggingface.co/FluidInference/parakeet-tdt-ctc-110m-coreml"
Repository = "https://huggingface.co/FluidInference/parakeet-tdt-ctc-110m-coreml"
Issues = "https://github.com/FluidInference/fluidaudio/issues"
[project.scripts]
parakeet-inference = "scripts.inference:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["scripts"]
[tool.ruff]
line-length = 100
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "I", "N", "W"]
ignore = ["E501"]
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