roberta-small-belarusian Open-Source Model - Free for Belarusian Text Processing Tasks

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Roberta Small Belarusian

Developed by KoichiYasuoka

This is a RoBERTa model pretrained on the CC-100 dataset, suitable for Belarusian text processing tasks.

Large Language Model

Transformers

Other#Belarusian language processing #Masked language model #CC100 pretraining

Downloads 234

Release Time : 3/17/2022

Model Overview

This model is a small RoBERTa model specifically designed for Belarusian, capable of masked language modeling and fine-tuning for downstream tasks such as part-of-speech tagging and dependency parsing.

Model Features

Belarusian language support

A pretrained language model specifically optimized for Belarusian.

Compact architecture

Utilizes a small RoBERTa architecture, suitable for resource-constrained environments.

Downstream task adaptation

Can be fine-tuned for various downstream NLP tasks such as part-of-speech tagging and syntactic analysis.

Model Capabilities

Masked language modeling

Part-of-speech tagging

Dependency parsing

Use Cases

Natural Language Processing

Part-of-speech tagging

Performing part-of-speech tagging on Belarusian text

Achieves accuracy comparable to professional tagging tools

Syntactic analysis

Analyzing dependency relationships in Belarusian sentences

Can be used to construct syntax trees

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Roberta Small Belarusian

Model Overview

Model Features

Model Capabilities

Use Cases

roberta-small-belarusian

Model Description

How to Use