This is a fine-tuned RoBERTa model specialized for named entity recognition (NER) in the Catalan language. It supports token classification tasks and can identify entities such as persons, organizations, and locations in Catalan text. Hosted on Hugging Face, it is designed for integration into NLP pipelines via standard libraries like transformers.
In the Other AI space, Roberta Base Ca V2 Cased Ner takes a focused approach. It focuses on performing accurate named entity recognition on Catalan text without building models from scratch. Roberta Base Ca V2 Cased Ner is an open-source project aimed at NLP researchers and developers. The project is open source (MIT). Roberta Base Ca V2 Cased Ner is available on the web and API.
Projecte AINA builds and maintains Roberta Base Ca V2 Cased Ner, and the product first shipped in 2021. Among its 3 catalogued features are Named Entity Recognition, Catalan Language Support, and Zero-shot Classification.
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