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 a Classification & entity recognition project. It focuses on identifying and classifying named entities such as persons, organizations, and locations in Spanish text. Bert Spanish Cased Finetuned Ner is an open-source project aimed at developers. The project is open source (CC-BY-4.0). It ships for the web and API.
It is developed by mrm8488, and it first shipped in 2019. The project is developed in the open on GitHub with 502 stars. Among its 3 catalogued features are Named Entity Recognition, Token Classification, and Spanish Language. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do