![]() Easy model packaging, deployment and workflow managementįacts, figures and benchmarks.Built in visualizers for syntax and NER.Support for custom models in PyTorch, TensorFlow and other frameworks.Easily extensible with custom components and attributes.Lemmatization, morphological analysis, entity linking and more Components for named entity recognition, part-of-speech-tagging,ĭependency parsing, sentence segmentation, text classification,.Support for pretrained word vectors and embeddings.Multi-task learning with pretrained transformers like BERT. ![]()
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