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Distilbert Base Multilingual Cased Vietnamese Topicifier

Developed by lamhieu
Vietnamese topic classifier fine-tuned from the distilbert-base-multilingual-cased model
Downloads 16
Release Time : 3/2/2022

Model Overview

This is a topic classification model for Vietnamese text, capable of identifying the subject category being discussed.

Model Features

Multilingual support
Based on the multilingual DistilBERT model, specifically optimized for Vietnamese
Lightweight
Uses DistilBERT architecture, more lightweight than the full BERT model
Micro-dataset adaptation
Fine-tuned using micro-datasets, suitable for small-scale applications

Model Capabilities

Vietnamese text classification
Topic recognition
Short text analysis

Use Cases

Content classification
Social media topic analysis
Identify topic categories discussed in Vietnamese social media posts
User interest classification
Identify user interest topics based on their input
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