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.
In the Other AI space, Nli Deberta V3 Xsmall takes a focused approach. It focuses on determining whether one sentence logically follows from or contradicts another. It is built as an open-source project for machine learning developers. Nli Deberta V3 Xsmall is open source under the Open Source license. It runs on the web and API.
cross-encoder builds and maintains Nli Deberta V3 Xsmall. Key capabilities include Natural Language Inference, Zero-Shot Classification, and Cross-Encoder Scoring.
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