training / flax /setup.py
nullonesix's picture
Saving train state of step 1
a1be16b verified
raw
history blame
1.75 kB
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import setuptools
_deps = [
"transformers>=4.34.0",
"datasets[audio]>=2.14.5",
"jax>=0.4.13",
"flax>=0.7.2",
"optax",
"evaluate",
"jiwer",
"torch",
"torchdata",
"tokenizers",
]
_extras_dev_deps = [
"black~=23.1",
"isort>=5.5.4",
"ruff>=0.0.241,<=0.0.259",
]
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
# read version
with open(os.path.join(here, "distil_whisper", "__init__.py"), encoding="utf-8") as f:
for line in f:
if line.startswith("__version__"):
version = line.split("=")[1].strip().strip('"')
break
else:
raise RuntimeError("Unable to find version string.")
setuptools.setup(
name="distil_whisper",
version=version,
description="Toolkit for distilling OpenAI's Whisper model.",
long_description=long_description,
long_description_content_type="text/markdown",
packages=setuptools.find_packages(),
install_requires=_deps,
extras_require={
"dev": [_extras_dev_deps],
},
)