This is a small DeBERTa-v3 cross-encoder model fine-tuned for natural language inference (NLI) on datasets like MultiNLI and SNLI. It can be used for zero-shot classification and sentence-pair scoring. The model is available via the sentence-transformers and Transformers libraries on Hugging Face.
Nli Deberta V3 Xsmall sits in PulseGate's Other AI category. It focuses on determining whether one sentence logically follows from or contradicts another. Nli Deberta V3 Xsmall is an open-source project aimed at machine learning developers. Nli Deberta V3 Xsmall is open source under the Open Source license. Nli Deberta V3 Xsmall is available on the web and API.
Behind Nli Deberta V3 Xsmall is cross-encoder. Key capabilities include Natural Language Inference, Zero-Shot Classification, and Cross-Encoder Scoring.
Summary written by a language model from the project’s public pages.
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