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    Models/Sentence Similarity/shibing624/text2vec-base-chinese-sentence
    Sentence Similaritysentence-transformersapache-2.0

    text2vec-base-chinese-sentence

    by shibing624

    Identifier
    Model ID
    shibing624/text2vec-base-chinese-sentence

    Tags

    sentence-transformerspytorchsafetensorserniefeature-extractiontext2vecsentence-similaritytransformerszhdataset:shibing624/nli-zh-alllicense:apache-2.0endpoints_compatibleregion:usdeploy:azure

    Use text2vec-base-chinese-sentence on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, text2vec-base-chinese-sentence runs as a managed extractor inside a processing pipeline. Point a bucket of sentence similarity data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.