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Gn Bert Tiny Cased

Developed by mmaguero
A pre-trained tiny BERT model for Guarani, trained on Wikipedia and Wiktionary data
Downloads 77
Release Time : 3/4/2022

Model Overview

This is a tiny BERT model specifically designed for the Guarani language, featuring a 2-layer architecture with case sensitivity, suitable for natural language processing tasks in Guarani.

Model Features

Dedicated to Guarani
Specifically designed and trained for the low-resource Guarani language
Tiny Architecture
Uses a 2-layer tiny BERT architecture, suitable for resource-constrained environments
Case-Sensitive
The model can recognize and process case-sensitive information

Model Capabilities

Text filling
Natural language understanding
Language model prediction

Use Cases

Text Processing
Text Completion
Automatically fills in missing parts of text
As shown in examples, it can accurately predict words in [MASK] positions
Linguistic Research
Used for linguistic studies of Guarani
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