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Beto Gn Base Cased

Developed by mmaguero
A bilingual Guarani-Spanish model fine-tuned based on the Spanish pre-trained BERT model
Large Language Model
Transformers
 Supports Multiple LanguagesOpen Source License:MIT#Guarani-Spanish hybrid#Wikipedia corpus fine-tuning#Low-resource language processing
Downloads 27
Release Time : 3/4/2022

Model Overview

This model is a bilingual model fine-tuned based on BETO-base-cased (Spanish pre-trained BERT model), supporting Guarani and Spanish language processing. It is mainly used for natural language processing tasks such as text classification and named entity recognition.

Model Features

Bilingual support
Supports both Guarani and Spanish language processing
BERT-based fine-tuning
Fine-tuned on the Spanish pre-trained BERT model
Wikipedia data training
Trained using Wikipedia and Wiktionary data, approximately 800,000 tokens

Model Capabilities

Text classification
Named entity recognition
Language understanding
Masked prediction

Use Cases

Linguistic research
Guarani text analysis
Analyze and process Guarani text content
Bilingual code-switching research
Study the phenomenon of code-switching between Guarani and Spanish
Educational applications
Bilingual learning tool
Assist in Guarani-Spanish bilingual learning
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