Gn Bert Tiny Cased
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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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