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Albert Fa Zwnj Base V2

Developed by HooshvareLab
A lightweight BERT model for self-supervised language representation learning in Persian
Downloads 137
Release Time : 3/2/2022

Model Overview

This is a lightweight BERT model specifically designed for Persian, using the ALBERT architecture for self-supervised language representation learning.

Model Features

Lightweight Design
Uses ALBERT architecture, which has fewer parameters and higher computational efficiency compared to standard BERT models
Persian Optimization
Specifically optimized and trained for Persian language
Self-supervised Learning
Pre-trained using self-supervised learning methods

Model Capabilities

Persian Text Understanding
Persian Language Representation Learning

Use Cases

Natural Language Processing
Persian Text Classification
Can be used for tasks such as sentiment analysis and topic classification of Persian texts
Persian Question Answering System
Serves as the foundational model for Persian question answering systems
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