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Roberta Swedish Scandi

Developed by birgermoell
A Swedish RoBERTa model trained on the MC4 dataset, performance yet to be evaluated.
Large Language Model Other#Swedish Pretraining#Nordic Language Processing#MC4 Dataset
Downloads 33
Release Time : 3/2/2022

Model Overview

This is a Swedish pretrained model based on the RoBERTa architecture, primarily used for natural language processing tasks such as text classification and named entity recognition.

Model Features

Trained on MC4 Dataset
Trained using the large-scale Swedish MC4 dataset, covering a wide range of Swedish texts.
RoBERTa Architecture
Utilizes the RoBERTa architecture, optimizing the training process of BERT models and improving model performance.

Model Capabilities

Text Classification
Named Entity Recognition
Text Generation
Language Understanding

Use Cases

Natural Language Processing
Text Classification
Classify Swedish texts, such as sentiment analysis and topic classification.
Named Entity Recognition
Identify named entities in Swedish texts, such as person names, locations, and organization names.
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