This is an open-weight cross-encoder model based on MiniLM for natural language inference. It is designed for zero-shot classification and semantic textual similarity tasks. Developers can load it via the sentence-transformers or transformers library to classify text pairs or rank labels without fine-tuning.
In the Other AI space, Nli MiniLM2 L6 H768 takes a focused approach. It focuses on finding the best matching label for a given premise without task-specific training data. Nli MiniLM2 L6 H768 is an open-source project aimed at developers. Nli MiniLM2 L6 H768 is open source under the Open Source license. It runs on the web and API.
cross-encoder builds and maintains Nli MiniLM2 L6 H768.
Summary written by a language model from the project’s public pages.
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