This cross-encoder model is fine-tuned on NLI datasets (MNLI, SNLI) using the DeBERTa-v3-base architecture. It predicts whether a premise entails, contradicts, or is neutral to a hypothesis. It is commonly used for zero-shot classification, semantic textual similarity, and as a component in retrieval or re-ranking systems via the sentence-transformers library.
Nli Deberta V3 Base sits in PulseGate's Other AI category. It focuses on determining semantic relationships (entailment, contradiction, neutral) between sentence pairs without task-specific training data. Nli Deberta V3 Base is an open-source project aimed at developers. The project is open source (Open Source). It runs on the web and API.
sentence-transformers builds and maintains Nli Deberta V3 Base, and the product first shipped in 2022.
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