Modules for NLP
Project description
📚 NLPSTACK
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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