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poetry.lock
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# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "accelerate"
version = "0.23.0"
description = "Accelerate"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "accelerate-0.23.0-py3-none-any.whl", hash = "sha256:fba5065ff4e7c8f0a39df50785023703cd9bf8388073aa13c6457920f3bc5225"},
{file = "accelerate-0.23.0.tar.gz", hash = "sha256:2139d219fa9a37773c4279c9afebe9f681f2f29e85a29b0be8d76257bd8e4abe"},
]
[package.dependencies]
huggingface-hub = "*"
numpy = ">=1.17"
packaging = ">=20.0"
psutil = "*"
pyyaml = "*"
torch = ">=1.10.0"
[package.extras]
dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "timm", "tqdm", "transformers", "urllib3 (<2.0.0)"]
quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
test-trackers = ["comet-ml", "tensorboard", "wandb"]
testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
[[package]]
name = "certifi"
version = "2023.11.17"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
{file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
]
[[package]]
name = "charset-normalizer"
version = "3.3.2"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
files = [
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huggingface_hub = ">=0.16.4,<0.18"
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docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
[[package]]
name = "torch"
version = "2.0.1"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
optional = false
python-versions = ">=3.8.0"
files = [