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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.Trained pipelines for different languages and tasks.

We also believe that help is much more valuable if it's shared publicly, so that Please understand that we won't be able to provide individual support via email. The spaCy project is maintained by the spaCy team. Send us an email or take our 5-minute questionnaire, and well'be in touch! Learn more → Streamlined, production-ready, predictable and maintainable. Support us and our work with unique, custom-designed swag!Ĭustom NLP consulting, implementation and strategic advice by spaCy’s core development team. How to contribute to the spaCy project and code base. Our YouTube channel with video tutorials, talks and more. Read about current spaCy and Prodigy development, releases, talks and more from Explosion. Learn spaCy in this free and interactive online course. Plugins, extensions, demos and books from the spaCy ecosystem.Īdditional tooling and features for working with spaCy's config files. Use spaCy with CUDA-compatible GPU processing. New features, backwards incompatibilities and migration guide.Įnd-to-end workflows you can clone, modify and run. New to spaCy? Here's everything you need to know! 💫 Version 3.7 out now! Check out the release notes here. Model packaging, deployment and workflow management. Production-ready training system and easy Learning with pretrained transformers like BERT, as well as a Named entity recognition, text classification and more, multi-task State-of-the-art speed and neural network models for tagging, parsing, Supports tokenization and training for 70+ languages. SpaCy comes with pretrained pipelines and currently

It's built on the very latest research, and was designed from day one to

SpaCy is a library for advanced Natural Language Processing in Python andĬython.

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