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Awesome Fb Model
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Awesome Fb Model
Developed by ClaudeYang
This is a model based on zero-shot classification technology, capable of classifying text without specific training.
Downloads 538
Release Time : 3/2/2022
Model Overview
The model supports multi-genre natural language inference and can classify input text based on provided candidate labels.
Model Features
Zero-shot classification
Classify new text without specific training
Multi-label support
Supports user-defined candidate label sets
Natural language inference
Classification implemented based on natural language inference technology
Model Capabilities
Text classification
Zero-shot learning
Multi-label classification
Use Cases
Information classification
Academic research classification
Classify academic paper abstracts into different research fields
Improve literature retrieval efficiency
News classification
Automatically classify news articles into predefined categories
Simplify news aggregation process
Data labeling
Preliminary data labeling
Provide preliminary labeling for machine learning datasets
Reduce manual labeling workload
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