DistilBERT Base Multilingual Sentiment open-source model - A free tool for multilingual text sentiment classification

Distilbert Base Multilingual Sentiment

Developed by louaysboui

A multilingual sentiment analysis model based on DistilBERT, suitable for text sentiment classification tasks in multiple languages.

Large Language Model

Transformers

Open Source License:Apache-2.0 #Multilingual Sentiment Analysis #Lightweight BERT #Text Classification

Downloads 24

Release Time : 5/15/2025

Model Overview

This model is a fine-tuned multilingual version of DistilBERT for sentiment analysis, capable of processing texts in multiple languages and predicting their sentiment tendencies.

Model Features

Multilingual Support

Capable of handling sentiment analysis tasks for texts in multiple languages.

Lightweight

Based on DistilBERT, it is more lightweight compared to the original BERT model, with faster inference speed.

Efficient Fine-tuning

Fine-tuned on unknown datasets, suitable for sentiment analysis tasks.

Model Capabilities

Text Sentiment Classification

Multilingual Text Processing

Use Cases

Social Media Analysis

Multilingual Comment Sentiment Analysis

Analyze the sentiment tendencies of user comments in different languages on social media.

Customer Feedback Analysis

Multilingual Customer Feedback Classification

Perform sentiment classification on multilingual feedback from global customers.

Property	Details
Transformers	4.51.3
TensorFlow	2.18.0
Datasets	2.14.4
Tokenizers	0.21.1

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Distilbert Base Multilingual Sentiment

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 distilbert_base_multilingual_sentiment

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

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📄 License