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Roberta Tagalog Large

Developed by jcblaise
A Filipino RoBERTa model trained on the TLUnified corpus, improved from previous versions with case-sensitive processing support.
Downloads 534
Release Time : 3/2/2022

Model Overview

This model is a RoBERTa-based language model optimized for Filipino, suitable for various natural language processing tasks, aiming to promote the development of the Filipino NLP community.

Model Features

Improved Filipino Language Processing
Trained on an updated TLUnified corpus with larger data scale and more diverse topics.
Case-sensitive Design
Specifically designed as a case-sensitive version, suitable for applications requiring case preservation.
Academic Research-oriented
Open-sourced as a result of a large-scale research project, aiming to advance NLP for low-resource languages.

Model Capabilities

Text Understanding
Language Modeling
Text Classification

Use Cases

Academic Research
Filipino NLP Research
Used for research related to Filipino language models
Improves performance benchmarks for Filipino tasks
Commercial Applications
Filipino Text Processing
Suitable for Filipino content analysis and processing
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