A large DeBERTa-v3 model fine-tuned for zero-shot text classification. Users can classify text by simply providing natural language descriptions of the target classes at inference time. This removes the need for task-specific training data and allows flexible classification across many domains including topic detection, sentiment analysis, and intent recognition.
Deberta V3 Large Zeroshot is an Other AI project. It focuses on classifying text into arbitrary categories without requiring labeled training examples for each class. It is built as an open-source project for developers. Deberta V3 Large Zeroshot is open source under the Apache-2.0 license. It ships for the web and API.
Behind Deberta V3 Large Zeroshot is MoritzLaurer, and it first shipped in 2023. The project is developed in the open on GitHub with 140 stars.
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