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Developed by deepnight-research
This is a zero-shot classification model under the MIT license, suitable for various classification tasks.
Downloads 18
Release Time : 11/25/2023
Model Overview
This model is primarily used for zero-shot classification tasks, capable of classifying without task-specific training data.
Model Features
Zero-shot classification
Classify without task-specific training data.
Multi-task support
Suitable for various classification tasks with broad applicability.
Model Capabilities
Text classification
Zero-shot learning
Use Cases
Text classification
Sentiment analysis
Classify text sentiment, such as positive, negative, or neutral.
Topic classification
Classify text topics, such as news, sports, or technology.
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