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 sits in PulseGate's Other AI category. 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. Xlm Roberta Large Ner Hrl is open source under the Open Source license. Xlm Roberta Large Ner Hrl is available on the web and API.
Davlan builds and maintains Xlm Roberta Large Ner Hrl, and the product first shipped in 2015. Development happens publicly on GitHub with 173 stars. Key capabilities include Named Entity Recognition, Multilingual Support, and Token Classification.
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