This model is a Spanish BERT (BETO) further fine-tuned on a Named Entity Recognition (NER) task. It identifies entities in Spanish text and classifies them into standard categories. The model is provided as a Hugging Face repository with full support for the Transformers pipeline for token classification.
Bert Spanish Cased Finetuned Ner is an Other AI product. It focuses on identifying and classifying named entities such as persons, organizations, and locations in Spanish text. It is built as an open-source project for developers. Bert Spanish Cased Finetuned Ner is open source under the CC-BY-4.0 license. It runs on the web and API.
mrm8488 builds and maintains Bert Spanish Cased Finetuned Ner, and the product first shipped in 2019. Development happens publicly on GitHub with 502 stars. Key capabilities include Named Entity Recognition, Token Classification, and Spanish Language. It exposes integrations via a public API.
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