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Xlm Roberta Large Xnli
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Xlm Roberta Large Xnli
Developed by xavierbarbier
A French zero-shot classification model based on Transformers.js, supporting multi-category classification of French text without specific training
Downloads 16
Release Time : 5/21/2024
Model Overview
This is a zero-shot classification model specifically designed for French text, capable of classifying input text without fine-tuning. Suitable for scenarios requiring quick implementation of multi-category text classification.
Model Features
Zero-shot learning capability
Can perform classification tasks without training for specific tasks
French language optimization
Specifically optimized for French text processing and classification
Transformers.js integration
Can be used directly in JavaScript environments, suitable for web application development
Model Capabilities
French text classification
Multi-category prediction
Zero-shot learning
Use Cases
Content classification
News classification
Automatically classify French news articles into predefined categories
Achieves high accuracy classification without training data
Customer feedback analysis
Perform sentiment or topic classification on French customer feedback
Quickly identifies the main categories of feedback
Data organization
Automatic document tagging
Automatically add classification tags to French documents
Improves document management efficiency
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