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{
    "name": "py310-transformers",
    "portdir": "python/py-transformers",
    "version": "4.21.2",
    "license": "Apache-2",
    "platforms": "{darwin any}",
    "epoch": 0,
    "replaced_by": null,
    "homepage": "https://huggingface.co/transformers/",
    "description": "State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch",
    "long_description": "Transformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, question answering, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.",
    "active": true,
    "categories": [
        "textproc",
        "python"
    ],
    "maintainers": [],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "py310-setuptools",
                "py310-wheel",
                "py310-build",
                "py310-installer",
                "clang-17"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "python310"
            ]
        },
        {
            "type": "run",
            "ports": [
                "py310-Pillow",
                "py310-fastprogress",
                "py310-filelock",
                "py310-flake8",
                "py310-importlib-metadata",
                "py310-isort",
                "py310-pandas",
                "py310-cookiecutter",
                "py310-matplotlib",
                "py310-tqdm",
                "py310-sphinx",
                "py310-scikit-learn",
                "py310-absl",
                "py310-protobuf3",
                "py310-parameterized",
                "py310-h5py",
                "py310-pydantic",
                "py310-psutil",
                "py310-soundfile",
                "py310-nltk",
                "py310-recommonmark",
                "py310-fastapi",
                "py310-starlette",
                "py310-tensorflow-macos",
                "py310-uvicorn",
                "py310-pytorch",
                "py310-tensorflow-datasets",
                "py310-fire",
                "py310-seqeval",
                "py310-timeout-decorator",
                "py310-unidic-lite",
                "py310-faiss",
                "py310-conllu",
                "py310-onnxconverter-common",
                "py310-fugashi",
                "py310-sacremoses",
                "py310-tokenizers",
                "py310-elasticsearch",
                "py310-huggingface_hub",
                "py310-pytorch-lightning",
                "py310-unidic",
                "py310-sacrebleu",
                "py310-fairseq",
                "py310-keras2onnx",
                "py310-datasets",
                "py310-torchaudio",
                "py310-torchtext",
                "py310-torchvision",
                "py310-tensorboardX",
                "py310-requests",
                "py310-regex",
                "py310-packaging",
                "py310-numpy",
                "py310-black"
            ]
        },
        {
            "type": "test",
            "ports": [
                "py310-pytest",
                "py310-pytest-xdist",
                "py310-pytest-sugar",
                "py310-huggingface_hub"
            ]
        }
    ],
    "depends_on": [
        {
            "type": "lib",
            "ports": [
                "py-transformers"
            ]
        }
    ]
}