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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 = "0.28.0"
description = "Accelerate"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "accelerate-0.28.0-py3-none-any.whl", hash = "sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421"},
{file = "accelerate-0.28.0.tar.gz", hash = "sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5"},
]
[package.dependencies]
huggingface-hub = "*"
numpy = ">=1.17"
packaging = ">=20.0"
psutil = "*"
pyyaml = "*"
safetensors = ">=0.3.1"
torch = ">=1.10.0"
[package.extras]
dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed (<0.13.0)", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
[[package]]
name = "aiohttp"
version = "3.9.3"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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