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Multilingual Minilm Amazon Massive Intent
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Multilingual Minilm Amazon Massive Intent

Developed by cartesinus
Intent classification model fine-tuned on the MASSIVE dataset based on Microsoft's Multilingual-MiniLM model, supporting multilingual understanding
Text Classification
Transformers
 Supports Multiple LanguagesOpen Source License:MIT#Multilingual intent recognition#High-precision classification#Dialogue system optimization
Downloads 32
Release Time : 12/12/2022

Model Overview

This model is specifically designed for multilingual intent classification tasks, fine-tuned on Amazon's MASSIVE dataset based on Microsoft's Multilingual-MiniLM model. Primarily used for understanding the intent behind user input text.

Model Features

Multilingual support
Based on the Multilingual-MiniLM architecture, supports intent understanding in multiple languages
High accuracy
Achieves an F1 score of 82.34% on the MASSIVE test set
Lightweight
MiniLM architecture is relatively lightweight, suitable for deployment in resource-constrained environments

Model Capabilities

Multilingual text understanding
Intent classification
Natural language processing

Use Cases

Virtual assistant
Voice assistant intent recognition
Used to identify the intent behind user requests received by voice assistants
Can accurately classify 60+ common user intents
Customer service
Automatic ticket classification
Automatically classifies the intent of customer-submitted tickets
Improves ticket processing efficiency and reduces manual classification time
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