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Multilingual Albert Base Cased 32k

Developed by cservan
Multilingual ALBERT model pretrained with masked language modeling objective, supporting 50+ languages, case-sensitive
Downloads 243
Release Time : 12/20/2023

Model Overview

This model is a transformers model pretrained in a self-supervised fashion on multilingual Wikipedia texts, primarily for feature extraction and downstream task fine-tuning. It uses the ALBERT architecture with parameter sharing characteristics, significantly reducing memory usage.

Model Features

Multilingual support
Supports processing for over 50 languages, including major European and Asian languages
Parameter-shared architecture
Uses ALBERT's unique cross-layer parameter sharing mechanism to significantly reduce model size
Case-sensitive
Accurately distinguishes case differences compared to traditional ALBERT models
Efficient pretraining
Optimized through dual objectives of masked language modeling and sentence order prediction

Model Capabilities

Multilingual text understanding
Sentence feature extraction
Downstream task fine-tuning
Masked token prediction

Use Cases

Natural Language Processing
Slot filling tasks
Used for information extraction tasks in dialogue systems
Achieved 88.60 accuracy on MultiATIS++ dataset
Text classification
Multilingual text classification applications
Achieved 70.76 accuracy on MMNLU task
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