{"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"]}]}