This XLM-RoBERTa large model has been fine-tuned for named entity recognition (NER) across a high-resource language set. It supports token classification tasks in dozens of languages and is suitable for information extraction pipelines. The model is hosted on Hugging Face and can be used with the Transformers library.
Xlm Roberta Large Ner Hrl is an Other AI project. It focuses on identifying named entities across many languages in text using a single high-performance model. It is built as an open-source project for developers. The project is open source (Open Source). It ships for the web and API.
Behind Xlm Roberta Large Ner Hrl is Davlan, and it first shipped in 2015. The project is developed in the open on GitHub with 173 stars. Among its 3 catalogued features are Named Entity Recognition, Multilingual Support, and Token Classification.
Summary written by a language model from the project’s public pages.
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