xlm-roberta-base-ner-hrl is a fine-tuned version of XLM-RoBERTa-base for token classification (Named Entity Recognition). It supports multiple high-resource languages and has been downloaded millions of times. The model is available for inference via the Hugging Face Inference API and is suitable for production NER tasks.
Xlm Roberta Base Ner Hrl is an Other AI product. It focuses on identifying and classifying named entities in high-resource languages using a single multilingual model. It is built as an open-source project for NLP developers and researchers. Xlm Roberta Base Ner Hrl is open source under the Open Source license. It runs on the web and API.
Davlan builds and maintains Xlm Roberta Base Ner Hrl, and the product first shipped in 2015. Development happens publicly on GitHub with 173 stars.
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