There is also a dedicated landing page for our biomedical NER and datasets with Language models, sequence labeling models, and text classification models. Text, how you can embed your text with different word or document embeddings, and how you can train your own The tutorials explain how the base NLP classes work, how you can load pre-trained models to tag your how to train a text classifier (sentiment analysis, etc.) → 4.5 how to train a sequence labeling model (NER/PoS) → 4.4 how model training generally works in Flair → 4.1 We provide a set of quick tutorials to get you started with the library: to learn more about sentiment analysis in Flair, check out our sentiment analysis tutorial!.This means that the sentence "I love Berlin" was tagged as having POSITIVE sentiment. In your favorite virtual environment, simply do: On the □ HuggingFace model hub! You can browse models, check detailed information on how they were trained, and even try each model out online! Quick Start Requirements and Installation Many Flair sequence tagging models (named entity recognition, part-of-speech tagging etc.) are also hosted For instance, check out our latest NER models: Language Now at version 0.12.1! State-of-the-Art Modelsįlair ships with state-of-the-art models for a range of NLP tasks. Train your own models and experiment with new approaches using Flair embeddings and classes. Our framework builds directly on PyTorch, making it easy to Flair has simple interfaces that allow you to use and combine different word andĭocument embeddings, including our proposed Flair embeddings and various transformers.Ī PyTorch NLP framework. Sense disambiguation and classification, with support for a rapidly growing number of languages.Ī text embedding library. Models to your text, such as named entity recognition (NER), sentiment analysis, part-of-speech tagging (PoS), Flair allows you to apply our state-of-the-art natural language processing (NLP) Developed by Humboldt University of Berlin and friends.Ī powerful NLP library. A very simple framework for state-of-the-art NLP.
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