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Ambert

Developed by surafelkindu
An Amharic language model trained based on the Roberta architecture, suitable for various natural language processing tasks.
Downloads 57
Release Time : 4/17/2022

Model Overview

This model is an Amharic language model trained based on the Roberta architecture, primarily used for processing Amharic text tasks such as text classification and named entity recognition.

Model Features

Based on Roberta architecture
Utilizes the Roberta architecture, providing robust text processing capabilities.
Supports Amharic
Specifically optimized for the Amharic language, suitable for various tasks in this language.

Model Capabilities

Text classification
Named entity recognition
Text generation

Use Cases

Natural language processing
Amharic text classification
Classify Amharic texts, such as sentiment analysis and topic classification.
Amharic named entity recognition
Identify named entities in Amharic texts, such as person names and locations.
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