Out now: spaCy v3.0

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It's finally here 🎉 Give it a try and let us know what you think!

💫 spaCy v3.0 in a nutshell

The new version features all new transformer-based pipelines that bring spaCy's accuracy right up to the current state-of-the-art. You can use any pretrained transformer to train your own pipelines, and even share one transformer between multiple components with multi-task learning. Training is now fully configurable and extensible, and you can define your own custom models using PyTorch, TensorFlow and other frameworks. The new spaCy projects system lets you describe whole end-to-end workflows in a single file, giving you an easy path from prototype to production, and making it easy to clone and adapt best-practice projects for your own use cases.

📖 Read more

• v3.0.0 release notes: Official GitHub release
• New in v3.0: New features, backwards incompatibilities and migration guide.
• Installation Quickstart: Install the new version, pipelines and add-ons for your specific setup.
• Training Quickstart: Generate a training config for your specific use case.
• Benchmarks: Results and accuracy comparisons.
• Projects & Project Templates: Get started by cloning a project template.
• Migration guide from v2.x to v3.x: How to update your code
• Introducing spaCy v3.0: Blog post introducing the release
• Videos: Introductions, walkthroughs and in-depth tutorials