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{
    "name": "py38-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": false,
    "categories": [
        "textproc",
        "python"
    ],
    "maintainers": [],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "py38-setuptools",
                "py38-wheel",
                "py38-build",
                "clang-14",
                "py38-installer"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "python38"
            ]
        },
        {
            "type": "run",
            "ports": [
                "py38-cookiecutter",
                "py38-datasets",
                "py38-elasticsearch",
                "py38-fairseq",
                "py38-fastapi",
                "py38-fastprogress",
                "py38-filelock",
                "py38-fire",
                "py38-flake8",
                "py38-fugashi",
                "py38-h5py",
                "py38-importlib-metadata",
                "py38-isort",
                "py38-keras2onnx",
                "py38-matplotlib",
                "py38-nltk",
                "py38-numpy",
                "py38-onnxconverter-common",
                "py38-packaging",
                "py38-pandas",
                "py38-parameterized",
                "py38-protobuf3",
                "py38-psutil",
                "py38-pydantic",
                "py38-pytorch",
                "py38-pytorch-lightning",
                "py38-recommonmark",
                "py38-regex",
                "py38-requests",
                "py38-sacrebleu",
                "py38-sacremoses",
                "py38-scikit-learn",
                "py38-seqeval",
                "py38-soundfile",
                "py38-sphinx",
                "py38-starlette",
                "py38-tensorboardX",
                "py38-tensorflow-datasets",
                "py38-timeout-decorator",
                "py38-tokenizers",
                "py38-torchaudio",
                "py38-torchvision",
                "py38-tqdm",
                "py38-unidic",
                "py38-unidic-lite",
                "py38-uvicorn",
                "py38-huggingface_hub",
                "py38-tensorflow-macos",
                "py38-torchtext",
                "py38-faiss",
                "py38-Pillow",
                "py38-absl",
                "py38-black",
                "py38-conllu"
            ]
        },
        {
            "type": "test",
            "ports": [
                "py38-pytest",
                "py38-pytest-sugar",
                "py38-pytest-xdist",
                "py38-huggingface_hub"
            ]
        }
    ],
    "depends_on": [
        {
            "type": "run",
            "ports": [
                "py38-allennlp",
                "py38-sentence-transformers"
            ]
        }
    ]
}