strayMat/tag_serve
Deployable Neural Tagger implementation for Named Entity Recognition
This project helps natural language processing practitioners quickly deploy and share Named Entity Recognition (NER) models. It takes raw text or documents as input and outputs the same text with identified entities (like names of people, organizations, or locations) tagged. It's ideal for data scientists, linguists, or NLP engineers who need to make their custom NER models accessible for live use or batch processing.
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Use this if you have a trained Named Entity Recognition (NER) model and need to easily expose it as a web service for real-time predictions or batch processing of text data.
Not ideal if you need a pre-trained, ready-to-use NER model without any deployment or customization, or if you require advanced model training capabilities.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 09, 2018
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