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Xlm Roberta Large Finetuned Conll02 Spanish

Developed by FacebookAI
Named entity recognition model fine-tuned on the Spanish CoNLL-2002 dataset based on XLM-RoBERTa-large
Downloads 244
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of XLM-RoBERTa-large, specifically designed for named entity recognition tasks in Spanish text.

Model Features

Multilingual Pretraining
Based on XLM-RoBERTa-large model, supporting 100 languages
Spanish Optimization
Specifically fine-tuned for Spanish text
Efficient NER Recognition
Excellent performance on the Spanish CoNLL-2002 dataset

Model Capabilities

Named Entity Recognition
Spanish Text Processing
Token Classification

Use Cases

Natural Language Processing
Spanish Text Entity Extraction
Identify entities such as person names, locations, and organization names from Spanish text
Performs well on the CoNLL-2002 dataset
Document Information Extraction
Process Spanish documents to extract key entity information
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