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Saving train state of step 1000
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# 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 = [
"torch>=1.10",
"transformers>=4.35.1",
"datasets[audio]>=2.14.7",
"accelerate>=0.24.1",
"jiwer",
"evaluate>=0.4.1",
"wandb",
"tensorboard",
"nltk",
]
_extras_dev_deps = [
"ruff==0.1.5",
]
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()
setuptools.setup(
name="distil_whisper",
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],
},
)