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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. + + + + + Prodigy: Radically efficient machine teaching + +
      +
      + Prodigy is an annotation tool so efficient that data scientists + can do the annotation themselves, enabling a new level of rapid iteration. + Whether you're working on entity recognition, intent detection or image + classification, Prodigy can help you train and evaluate your + models faster. +
      +
      + + + + + + { 55 exercises featuring videos, slide decks, multiple-choice questions and interactive coding practice in the browser. - - Prodigy is an annotation tool so efficient that data scientists - can do the annotation themselves, enabling a new level of rapid iteration. - Whether you're working on entity recognition, intent detection or image - classification, Prodigy can help you train and evaluate your - models faster. Stream in your own examples or real-world data from live APIs, - update your model in real-time and chain models together to build more complex - systems. + Learn more from small training corpora by initializing your models with{' '} + knowledge from raw text. The new pretrain command teaches + spaCy's CNN model to predict words based on their context, producing + representations of words in contexts. If you've seen Google's BERT system or + fast.ai's ULMFiT, spaCy's pretraining is similar – but much more efficient. It's + still experimental, but users are already reporting good results, so give it a + try! - - - - - - - Learn more from small training corpora by initializing your models with{' '} - knowledge from raw text. The new pretrain command teaches spaCy's - CNN model to predict words based on their context, producing representations of - words in contexts. If you've seen Google's BERT system or fast.ai's ULMFiT, spaCy's - pretraining is similar – but much more efficient. It's still experimental, but users - are already reporting good results, so give it a try! - -

      Benchmarks