id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
spacy-io-8181		spaCy · Industrial-strength Natural Language Processing in Python			.html	text/html	1198	245	66	spaCy · Industrial-strength Natural Language Processing in Python nlp = spacy.load("en_core_web_sm") Transformer-based pipelines, new training system, project templates & more spaCy v3.0 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. 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. Whether you're working on entity recognition, intent detection or image classification, Prodigy can help you train and evaluate your models faster. spaCy v3.0 introduces a comprehensive and extensible system for configuring your training runs. To use it with 'spacy train'	./cache/spacy-io-8181.html	./txt/spacy-io-8181.txt