GitHub - flairNLP/flair: A very simple framework for state-of-the-art Natural Language Processing (NLP)

Developed by Humboldt University of Berlin and friends. Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), special support for biomedical data, sense disambiguation and classification, with support for a rapidly growing number of languages. Flair has simple interfaces that allow you to use and combine different word and document embeddings, including our proposed Flair embeddings, BERT embeddings and ELMo embeddings. Our framework builds directly on PyTorch, making it easy to train your own models and experiment with new approaches using Flair embeddings and classes. New: Most Flair sequence tagging models (named entity recognition, part-of-speech tagging etc.) are now hosted on the HuggingFace model hub!