This is a large XLM-RoBERTa model fine-tuned on the CoNLL-03 English dataset for named entity recognition (NER). It supports token classification across a wide range of languages. The model is distributed on Hugging Face and can be used with the transformers library for extracting persons, organizations, locations, and other entities from text.
Xlm Roberta Large Finetuned Conll03 English is an Other AI product. It focuses on identifying and classifying named entities in text across many languages using a single model. Xlm Roberta Large Finetuned Conll03 English is an open-source project aimed at developers. The project is open source (MIT). It runs on the web and API.
Behind Xlm Roberta Large Finetuned Conll03 English is FacebookAI, and the product first shipped in 2017. The GitHub repository has been archived. Among its 4 catalogued features are Named Entity Recognition, multilingual, and Token Classification.
Latest indexed changes and source events
FacebookAI/xlm-roberta-large-finetuned-conll03-english verified by the PulseGate indexer
⚠ Archived
