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📚 NLPSTACK\n\n[![Actions Status](https://github.com/altescy/nlpstack/workflows/CI/badge.svg)](https://github.com/altescy/nlpstack/actions/workflows/ci.yml)\n[![Python version](https://img.shields.io/pypi/pyversions/nlpstack)](https://github.com/altescy/nlpstack)\n[![pypi version](https://img.shields.io/pypi/v/nlpstack)](https://pypi.org/project/nlpstack/)\n[![Documentation Status](https://readthedocs.org/projects/nlpstack/badge/?version=latest)](https://nlpstack.readthedocs.io/en/latest/?badge=latest)\n[![License](https://img.shields.io/github/license/altescy/nlpstack)](https://github.com/altescy/nlpstack/blob/master/LICENSE)\n\nA Python Library for Natural Language Processing\n\nNLPSTACK is a Python library designed to make natural language processing (NLP) tasks more accessible and efficient.\nWith its key features listed below, NLPSTACK aims to become a go-to resource for developers working in NLP:\n\n- Built on top of [PyTorch](https://pytorch.org/), NLPSTACK offers ready-to-use modules for a seamless NLP experience.\n- Provides a [scikit-learn](https://scikit-learn.org/) compatible interface, ensuring familiar and easy usage.\n- Allows for seamless integration of models provided by the [🤗 Transformers](https://github.com/huggingface/transformers), enabling the use of powerful pre-trained models in your NLP workflows.\n- Adopts a [dependency injection](https://en.wikipedia.org/wiki/Dependency_injection) design pattern, which ensures high extensibility and makes it easy to modify specific processes.\n- 🚧 **Currently in the preliminary stages of development**, NLPSTACK plans to offer user-friendly interfaces for a wide range of NLP tasks in the future, including text classification, sequence labeling, language model training..., and more!\n\n## Installation\n\nTo install NLPSTACK, simply use the following command with pip:\n\n```bash\npip install nlpstack\n```\n\nPlease be aware that NLPSTACK is in its early development stages.\nAs such, be prepared for the possibility of breaking changes as the library is being developed and refined.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faltescy%2Fnlpstack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faltescy%2Fnlpstack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faltescy%2Fnlpstack/lists"}