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Using & Expanding the NLP Models Hub

The NLP Models Hub which powers the Spark NLP and NLU libraries takes a different approach than the hubs of other libraries like TensorFlow, PyTorch, and Hugging Face. While it also provides an easy-to-use interface to find, understand, and reuse pre-trained models, it focuses on providing production-grade state-of-the-art models for each NLP task instead of a comprehensive archive.

This implies a higher quality bar for accepting community contributions to the NLP Models Hub – in terms of automated testing, level of documentation, and transparency of accuracy metrics and training datasets. This webinar shows how you can make the most of it, whether you’re looking to easily reuse models or contribute new ones.

State-of-the-art Natural Language Processing for 200+ Languages with 1 Line of code

Learn to harness the power of 1,000+ production-grade & scalable NLP models for 200+ languages – all available with just 1 line...