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    Models/Sentence Similarity/sentence-transformers-testing/all-nli-bert-tiny-dense
    Sentence Similaritysentence-transformers

    all-nli-bert-tiny-dense

    by sentence-transformers-testing

    Identifier
    Model ID
    sentence-transformers-testing/all-nli-bert-tiny-dense

    Tags

    sentence-transformerssafetensorsbertsentence-similarityfeature-extractiongenerated_from_trainerdataset_size:277277loss:MultipleNegativesRankingLossarxiv:1908.10084arxiv:1705.00652base_model:prajjwal1/bert-tinybase_model:finetune:prajjwal1/bert-tinymodel-indexco2_eq_emissionstext-embeddings-inferenceendpoints_compatibleregion:us

    Use all-nli-bert-tiny-dense on Mixpeek

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

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    How It Runs on Mixpeek

    On Mixpeek, all-nli-bert-tiny-dense 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.