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Modules for NLP

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📚 NLPSTACK

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A Python Library for Natural Language Processing

NLPSTACK is a Python library designed to make natural language processing (NLP) tasks more accessible and efficient. With its key features listed below, NLPSTACK aims to become a go-to resource for developers working in NLP:

  • Built on top of PyTorch, NLPSTACK offers ready-to-use modules for a seamless NLP experience.
  • Provides a scikit-learn-compatible interface, ensuring familiar and easy usage.
  • Allows for seamless integration of models provided by the Transformers library, enabling the use of powerful pre-trained models in your NLP workflows.
  • Adopts a dependency injection design pattern, which ensures high extensibility and makes it easy to modify specific processes.
  • 🚧 Currently in its early development stage, NLPSTACK plans to offer user-friendly interfaces for a wide range of NLP tasks in the future, including text classification, sequence labeling, and language model training.

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