FLAIR is a powerful Natural Language Processing (NLP) library developed by Humboldt University of Berlin. It's built on PyTorch and known for its ease of use and flexibility. FLAIR is especially notable for its strong performance in tasks such as named entity recognition (NER), part-of-speech tagging (POS), text classification, and sequence labeling. FLAIR utilizes contextual string embeddings, pre-trained language models, and a simple interface to allow for rapid experimentation and high-quality results in a variety of NLP applications.
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